Bibliography

Adams DC; Gurevitch J; Rosenberg MS. Resampling tests for meta-analysis of ecological data. Ecology. 1997; 78: 1277–1283.

Aickin M; Gensler H. Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods. Am. J. Public Health. 1996; 85: 726–728.

Albers W; Bickel PJ; Van Zwet WR. Asymptotic expansions for the power of distribution-free tests in the one–sample problem. Ann. Statist. 1976; 4: 108–156.

Altman DG. Statistics in medical journals. Statist. Med. 1982; 1: 59–71.

Altman DG. Randomisation. BMJ. 1991a; 302: 1481–1482.

Altman DG. Statistics in medical journals: developments in the 1980s. Statist. Med. 1991b; 10: 1897–1913.

Altman DG. The scandal of poor medical research. BMJ. 1994; 308: 283–284.

Altman DG. Statistical reviewing for medical journals. Statist. Med. 1998a; 17: 2662–2674.

Altman DG. Commentary: Within trial variation—A false trail? J. Clin. Epidemiol. 1998b; 51: 301–303.

Altman DG. Statistics in medical journals: Some recent trends. Statist. Med. 2000; 19: 3275–3289.

Altman DG. Poor quality medical research: What can journals do? JAMA 2002; 287: 2765–2767.

Altman DG; De Stavola BL; Love SB; Stepniewska KA. Review of survival analyses published in cancer journals. Br. J. Cancer. 1995; 72: 511–518.

Altman DG; Lausen B; Sauerbrei W; Schumacher M. Dangers of using “optimal” cutpoints in the evaluation of prognostic factors. [Commentary] JNCI. 1994; 86: 829–835.

Altman DG; Schulz KF; Moher D; Egger M; Davidoff F; Elbourne D; Gøtzsche PC; Lang T for the CONSORT Group. The revised consort statement for reporting randomized trials: Explanation and elaboration. Annals Internal Med. 2001; 134: 663–694.

Aly E–E AA. Simple test for dispersive ordering. Statist. Prob. Letters. 1990; 9: 323–325.

Andersen B. Methodological Errors in Medical Research. Blackwell, Oxford, 1990.

Anderson DR; Burnham KP; Thompson WL. Null hypothesis testing: Problems, prevalence, and an alternative. J. Wildlife Manage. 2000; 64: 912–923.

Anderson S; Hauck WW. A proposal for interpreting and reporting negative studies. Statist. Med. 1986; 5: 203–209.

Anscombe F. Sequential medical trials (book review). JASA. 1963; 58: 365.

Armitage P. Test for linear trend in proportions and frequencies. Biometrics. 1955; 11: 375–386.

Avram MJ; Shanks CA; Dykes MHM; Ronai AK; Stiers WM. Statistical methods in anesthesia articles: An evaluation of two American journals during two six-month periods. Anesthesia and Analgesia. 1985; 64: 607–611.

Baayen RH; Davidson DJ; Bates DM. Mixed-effects modeling with crossed random effects from subjects and items. J. Memory Language. 2008; 59: 390–412.

Babyak MA. What you see may not be what you get: A brief, nontechnical introduction to overfitting in regression-type models. Psychosom Med. 2004; 66: 411–421.

Bacchetti P. Peer review of statistics in medical research: the other problem. BMJ. 2002; 324: 1271–1273.

Badrick TC; Flatman RJ. The inappropriate use of statistics, N.Z. J. Med. Lab. Sci. 1999; 53: 95–103.

Baggerly KA; Coombes KR. Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology. Ann. Appl. Stat. 2009; 3: 1309–1334.

Bailey KR. Inter-study differences: How should they influence the interpretation and analysis of results? Statist. Med. 1987; 6: 351–358.

Bailor AJ. Testing variance equality with randomization tests. Statist. Comp. Simul. 1989; 31: 1–8.

Bailar JC; Mosteller F. Guidelines for statistical reporting in articles for medical journals: Amplifications and explanations. Annals of Internal Medicine. 1988; 108: 66–73.

Balakrishnan N; Ma CW. A comparative study of various tests for the equality of two population variances. Statist. Comp. Simul. 1990; 35: 41–89.

Baker RD. Two permutation tests of equality of variance. Statist. Comput. 1995; 5: 289–296.

Barbui C; Violante A; Garattini S. Does placebo help establish equivalence in trials of new antidepressants? Eur. Psychiatry. 2000; 15: 268–273.

Barnston AG; van den Dool HM. A degeneracy in cross-validated skill in regression-based forecasts. J. Climate. 1993; 6: 963–977.

Barrodale I; Roberts FDK. An improved algorithm for discrete l₁ linear approximations. Soc. Industr. Appl. Math. J. Numerical Anal. 1973; 10: 839–848.

Bayarri MJ; Berger J. Quantifying surprise in the data and model verification. In: Bernado et al., eds. Bayesian Statistics. Oxford: Oxford University Press, 1998; 53–82.

Bayes T. An essay toward solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society. 1763; 53: 370–418.

Begg C; Berlin J. (with discussion). Publication bias: a problem in interpreting medical data. JRSS A. 1988; 151: 419–436.

Begg CB; Cho M; Eastwood S; Horton R; Moher D; Olkin I; Pitkin R; Rennie D; Schulz KF; Simel D; Stroup DF. Improving the quality of reporting of randomized controlled trials: The CONSORT Statement. JAMA. 1996; 276: 637–639.

Bent GC; Archfield SA. A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts USGC. Water-Resources Investigations Report 02–4043 2002.

Berger JO. Statistical Decision Theory and Bayesian Analysis; 2nd ed.; Springer-Verlag, New York. 1986.

Berger JO. Could Fisher, Jefferies, and Neyman have agreed on testing? Statist. Sci. 2003; 18: 1–32.

Berger JO; Berry DA. Statistical analysis and the illusion of objectivity. The American Scientist 1988; 76: 159–165.

Berger JO; Sellke T. Testing a point null hypothesis: The irreconcilability of P-values and evidence. JASA. 1987; 82: 112–122.

Berger VW. Pros and cons of permutation tests. Statist. Med. 2000; 19: 1319–1328.

Berger VW. Improving the information content of endpoints in clinical trials. Controlled Clinical Trials. 2002; 23: 502–514.

Berger VW. Selection Bias and Covariate Imbalances in Randomized Clinical Trials. Wiley, 2005.

Berger VW. Response to Klassen et al: Missing data should be more heartily penalized. Journal of Clinical Epidemiology. 2006; 59: 759–761.

Berger VW; Exner DV. Detecting selection bias in randomized clinical trials. Controlled Clinical Trials. 1999; 20: 319–327.

Berger VW; Lunneborg C; Ernst MD; Levine JG. Parametric analyses in randomized clinical trials. J. Modern Appl. Statist. Meth. 2002; 1: 74–82.

Berger VW; Ivanova A. Bias of linear rank tests for stochastic order in ordered categorical data. J. Statist. Planning and Inference. 2002; 107: 237–247.

Berger VW; Permutt T; Ivanova A. Convex hull test of ordered categorical data. Biometrics. 1998; 54: 1541–1550.

Berkeley G. Treatise Concerning the Principles of Human Knowledge. Oxford University Press. 1710.

Berkey C; Hoaglin D; Mosteller F; Colditz G. A random effects regression model for meta–analysis. Statist. Med. 1995; 14: 395–411.

Berkson J. Tests of significance considered as evidence. JASA. 1942; 37: 325–335.

Berlin JA; Laird NM; Sacks HS; Chalmers TC. A comparison of statistical methods for combining event rates from clinical trials. Statist. Med. 1989; 8: 141–151.

Berry DA. Decision analysis and Bayesian methods in clinical trials. In Recent Advances in Clinical Trial Design and Analysis. 125–154. Kluwer Press, New York. (Ed: Thall P). 1995.

Berry DA. Statistics: A Bayesian Perspective. Duxbury Press, Belmont, California. 1996.

Berry DA; Stangl DK. Bayesian Biostatistics. Marcel Dekker; New York. 1996.

Bickel P; Klassen CA; Ritov Y; Wellner J. Efficient and Adaptive Estimation for Semi–parametric Models. Johns Hopkins University Press, Baltimore. 1993.

Bishop G; Talbot M. Statistical thinking for novice researchers in the biological sciences. In Batanero C. (ed.), Training Researchers in the Use of Statistics. International Association for Statistical Education and International Statistical Institute. Granada, Spain. pp. 215–226. 2001.

Bland JM; Altman DG. Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet. 1995; 346: 1085–1087.

Block G. A review of validations of dietary assessment methods. Am J. Epidemiol. 1982; 115: 492–505.

Bly RW. Power-Packed Direct Mail: How to Get More Leads and Sales by Mail. Henry Holt 1996.

Bly RW. The Copywriter’s Handbook: A Step-By-Step Guide to Writing Copy That Sells. Henry Holt. 1990.

Blyth CR. On the inference and decision models of statistics (with discussion). Ann. Statist. 1970; 41: 1034–1058.

Bothun G. Modern Cosmological Observations and Problems. Taylor and Francis, London. 1998.

Box GEP; Anderson SL. Permutation theory in the development of robust criteria and the study of departures from assumptions. JRSS-B. 1955; 17: 1–34.

Box GEP; Hunter WG; Hunter JS. Statistics for Experimenter. John Wiley & Sons, 1978, Page 8.

Box GEP; Jenkins GM. Time Series Analysis: Forecasting and Control. Holden-Day, San Francisco, 1970.

Box GEP; Tiao GC. A note on criterion robustness and inference robustness. Biometrika. 1964; 51: 169–173.

Bradley JV. Distribution Free Statistical Tests. Prentice-Hall, 1968.

Breiman L. Bagging Predictors. Machine Learning. 1996; 24: 123–140.

Breiman L; Friedman JH; Olshen RA; Stone CJ. Classification and Regression Trees. Wadsworth and Brooks, Monterey CA. 1984.

Breslow NE, Day NE. Statistical Methods in Cancer Research. I. The Analysis of Case-Control Studies. http://www.iarc.fr/en/publications/pdfs-online/stat/sp32/SP32.pdf. 1980

Brockman P; Chowdhury M. Deterministic versus stochastic volatility: Implications for option pricing models. Applied Financial Economics. 1997; 7: 499–505.

Brockwell PJ; Davis RA. Time Series: Theory and Methods. Springer-Verlag, New York. 1987.

Brown MB; Forsythe AB. Robust Tests for Equality of Variances. J. American Statistical Association. 1974; 69: 364–367.

Browne MW. A comparison of single sample and cross-validation methods for estimating the mean squared error of prediction in multiple linear regression. British J. Math. Statistist Psychol. 1975; 28: 112–120.

Buchanan-Wollaston H. The philosophic basis of statistical analysis. J. Int. Council Explor. Sea. 1935; 10: 249–263.

Burn DA. Designing effective statistical graphs. In Rao CR (ed.) Handbook of Statistics, Elsevier. 1993; 9: Chapter 22.

Buyse M; Piedbois P. On the relationship between response to treatment and survival time. Statistics In Medicine. 1996; 15: 2797–2812.

Cade B; Richards L. Permutation tests for least absolute deviation regression. Biometrics. 1996; 52: 886–902.

Callaham ML; Wears RL; Weber EJ; Barton C; Young G. Positive-outcome bias and other limitations in the outcome of research abstracts submitted to a scientific meeting. JAMA. 1998; 280: 254–257.

Camstra A; Boomsma A. Cross-validation in regression and covariance structure analysis. Sociological Methods and Research. 1992; 21: 89–115.

Canty AJ; Davison AC; Hinkley DV; Ventura V. Bootstrap diagnostics and remedies. Canadian Journal of Statistics. 2006; 34: 5–27.

Capaldi DM; Patterson GR. An approach to the problem of recruitment and retention rates for longitudinal research. Behavioral Assessment. 1987; 9: 169–177.

Cappuccio FP; Elliott P; Allender PS; Pryer J; Follman DA; Cutler JA. Epidemiologic association between dietary calcium intake and blood pressure: A meta-analysis of published data. Am J. Epidemiol. 1995; 142: 935–945.

Carlin BP; Louis TA. Bayes and Empirical Bayes Methods for Data Analysis. Chapman and Hall, London, U.K. 1996.

Carleton RA; Lasater TM; Assaf AR; Feldman HA; McKinlay S. The Pawtucket Heart Health Program: Community changes in cardiovascular risk factors and projected disease risk. Am. J. Public Health. 1995; 85: 777–785.

Carmer SG; Walker WM. Baby bear’s dilemma: A statistical tale. Agronomy Journal. 1982; 74: 122–124.

Carpenter J; Bithell J. Bootstrap confidence intervals. Statist. Med. 2000; 19: 1141–1164.

Carroll RJ; Ruppert D. Transformations in regression: A robust analysis. Technometrics. 1985; 27: 1–12.

Carroll RJ; Ruppert D; Stefanski LA (1995). Measurement Error In Nonlinear Models. Chapman and Hall, New York.

Carroll RJ; Ruppert D. Transformation and Weighting in Regression. Chapman and Hall. 2000.

Casella G; Berger RL. Statistical Inference. Pacific Grove CA: Wadsworth-Brooks. 1990.

Chalmers TC. Problems induced by meta-analyses. Statist. Med. 1991; 10: 971–980.

Chalmers TC; Frank CS; Reitman D. Minimizing the three stages of publication bias. JAMA. 1990; 263: 1392–1395.

Chalmers TC; Celano P; Sacks HS; Smith H. Bias in treatment assignment in controlled clinical trials. The New England Journal of Medicine. 1983; 309: 1358–1361.

Charlton BG. The future of clinical research: From megatrials towards methodological rigour and representative sampling. J. Eval. Clin. Pract. 1996; 2: 159–169.

Chernick MR. Bootstrap Methods: A Guide for Practitioners and Researchers. Wiley; 2nd ed. 2007.

Chernick MR; Liu CY. The saw-toothed behavior of power versus sample size and software solutions: single binomial proportion using exact methods. American Statistician. 2002; 56: 149–155.

Cherry S. Statistical tests in publications of The Wildlife Society, Wildlife Society Bulletin. 1998; 26: 947–953.

Chiles JR. Inviting Disaster: Lessons from the Edge of Technology. Harper-Collins, New York. 2001.

Choi BCK. Development of indicators for occupational health and safety surveillance. Asian-Pacific Newsletter 2000; 7. http://www.ttl.fi/Internet/English/Information/Electronic+journals/Asian–Pacific+Newsletter/2000–01/04.htm

Clemen RT. Combining forecasts: A review and annotated bibliography. International Journal of Forecasting. 1989; 5: 559–583.

Clemen RT. Making Hard Decisions. PWS-Kent, Boston. 1991.

Clemen RT; Jones SK; Winkler RL. Aggregating forecasts: an empirical evaluation of some Bayesian methods. In Bayesian Analysis in Statistics and Econometrics. (Ed: Berry DA; Chaloner K) pp. 3–13. Wiley. 1996.

Cleveland WS. The Elements of Graphing Data. Hobart Press: Summit NJ. 1985, 1994.

Cleveland WS; McGill ME. Dynamic Graphic Statistics. London, CRC Press. 1988.

Cochran WG. Sampling Techniques (3rd ed.) Wiley. 1977.

Cody R. Longitudinal Data And SAS: A Programmer’s Guide. SAS Press, Cary, NC. 2001.

Cohen J. Things I have learned (so far). American Psychologist. 1990; 45: 1304–1312.

Collins R; Keech A; Peto R; Sleight P; Kjekshus J; Wilhelmsen L; MacMahon S; Shaw J; Simes J; Braunwald E; Buring J; Hennekens C; Pfeffer M; Sacks F; Probstfield P; Yasuf S; Downs JR; Gotto A; Cobbe S; Ford I; Shepherd J. Cholesterol and total mortality: Need for larger trials. BMJ. 1992; 304: 1689.

Collins RJ; Weeks JR; Cooper MM; Good PI; Russell RR. Prediction of abuse liability of drugs using intravenous self-administration by rats. Psychopharmacology. 1984; 82, 6–13.

Conover WJ; Salsburg D. Biometrics. 1988; 44: 189–196.

Conover WJ; Johnson ME; Johnson MM. Comparative study of tests for homogeneity of variances: With applications to the outer continental shelf bidding data. Technometrics. 1981; 23: 351–361.

Converse JM; Presser S. Survey Questions: Handcrafting the Standardized Questionaire. Sage Publications. 1986.

Cooper HM; Rosenthal R. Statistical versus traditional procedures for summarising research findings. Psychol. Bull. 1980; 87: 442–449.

Copas JB; Li HG. Inference for non-random samples (with discussion). JRSS. 1997; 59: 55–95.

Cornfield J; Tukey JW. Average values of mean squares in factorials. Ann. Math. Statist. 1956; 27: 907–949.

Cox DR. Some problems connected with statistical inference. Ann. Math. Statist. 1958; 29: 357–372.

Cox DR. The role of significance tests. Scand J. Statist. 1977; 4: 49–70.

Cox DR. Seven common errors in statistics and causality. JRSS A. 1992; 155: 291.

Cox DR. Some remarks on consulting. Liaison (Statistical Society of Canada). 1999; 13: 28–30.

Cumming G; Fidler F; Vaux DL. Error bars in experimental biology. J. Cell Biol. 2007; 177: 7–11.

Cummings P; Koepsell TD. Statistical and design issues in studies of groups. Inj. Prev. 2002; 8: 6–7.

Dar R; Serlin RC; Omer H. Misuse of statistical tests in three decades of psychotherapy research. J. Consult. Clin. Psychol. 1994; 62: 75–82.

Davison AC; Hinkley DV. Bootstrap Methods and Their Application. Cambridge University Press. 1997.

Davison AC; Snell EJ. Residuals and diagnostics. In Statistical Theory and Modelling, DV. Hinkley, N. Reid, and EJ Shell, eds. Chapman and Hall: London. p.83. 1991.

Day S. Blinding or masking. In Encyclopedia of Biostatistics, v1, P. Armitage and T. Colton, Editors, Wiley, Chichester. 1998.

DeGroot MH. Optimal Statistical Decisions. New York: McGraw-Hill, 1970.

Delucchi KL. The use and misuse of chisquare: Lewis and Burke revisited. Psych. Bull. 1983; 94: 166–176.

Deming WE. On some statistical aids toward economic production. Interfaces. 1975; 5: 1–15.

Derado G; Mardia K; Patrangenaru V; Thompson H. A shape-based glaucoma index for tomographic images. J. Appl. Stat. 2004; 31: 1241–1248.

Diaconis P. Statistical problems in ESP research. Science. 1978; 201: 131–136.

Diciccio TJ; Romano JP. A review of bootstrap confidence intervals (with discussion). JRSS B. 1988; 50: 338–354.

Dietmar SD; Dewitte K; LM Thienpont. Validity of linear regression in method comparison studies: Is it limited by the statistical model or the quality of the analytical input data? Clinical Chemistry. 1998; 44: 2340–2346.

Disney MJ. Visibility of galaxies. Nature. 1976; 263: 573–575.

Dixon PM. Assessing effect and no effect with equivalence tests. In Newman MC, Strojan CL, eds. Risk Assessment: Logic and Measurement. Chelsea (MI): Ann Arbor Press. 1998.

Dixon DO; Simon R. Bayesian subset analysis. Biometrics 1991; 47: 871–882.

Djulbegovic B; Lacevic M; Cantor A; Fields KK; Bennett CL; Adams JR; Kuderer NM; Lyman GH. The uncertainty principle and industry-sponsored research. Lancet. 2000; 356: 635–638.

Donner A; Brown KS; Brasher P. A methodological review of non–therapeutic intervention trials employing cluster randomization, 1979–1989. Int. J. Epidemiol. 1990; 19: 795–800.

Duggan TJ; Dean CW. Common misinterpretations of significance levels in sociological journals. Amer. Sociologist. 1968; February: 45–46.

Durbin J. Errors in variables. Revue de l’Institut International de Statistique. 1954; 22: 23–32.

Durtschi C; Hillison W; Pacini C. The effective use of Benford’s Law to assist in detecting fraud in accounting data. J. Forensic Account. 2004; 5: 1524–1586.

Dyke G. How to avoid bad statistics. Field Crops Research. 1997; 51: 165–197.

Early Breast Cancer Trialists’ Collaborative Group, Treatment of Early Breast Cancer. Volume 1. Worldwide Evidence 1985–1990. Table 3M. Oxford University Press. 1990.

Easterbrook PJ; Berlin JA; Gopalan R; Matthews DR. Publication bias in clinical research. Lancet. 1991; 337: 867–872.

Ederer F. Why do we need controls? Why do we need to randomize? American Journal of Ophthalmology. 1975; 76: 758–762.

Edwards W; Lindman H; Savage L. Bayesian statistical inference for psychological research. Psychol Rev. 1963; 70: 193–242.

Efron B. Bootstrap methods, another look at the jackknife. Annals Statist. 1979; 7: 1–26.

Efron B. The Jackknife, the Bootstrap, and Other Resampling Plans. Philadelphia: SIAM. 1982.

Efron B. Better bootstrap confidence intervals (with discussion). JASA. 1987; 82: 171–200.

Efron B. Bootstrap confidence intervals: Good or bad? (with discussion). Psychol. Bull. 1988; 104: 293–296.

Efron B. Six questions raised by the bootstrap. In: R. LePage and L. Billard, eds. Exploring the Limits of the Bootstrap. Wiley, 1992, pp. 99–126.

Efron B; Morris C. Stein’s paradox in statistics. Sci. Amer. 1977; 236: 119–127.

Efron B; Tibshirani R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statist. Sci. 1986; 1: 54–77.

Efron B; Tibshirani R. An Introduction to the Bootstrap. New York: Chapman and Hall, 1993.

Egger M; Smith GD; Phillips AN. Meta-analysis: Principles and procedures. BMJ. 1997; 315: 1533–1537.

Egger M; Schneider M; Smith GD. Spurious precision? Meta-analysis of observational studies. British Med J. 1998; 316: 140–143.

Ehrenberg ASC. Rudiments of numeracy. JRSS Series A. 1977; 140: 277–297.

Ellis SP. Instability of least squares, least absolute deviation and least median of squares linear regression. Statist. Sci. 1998; 13: 337–350.

Elwood JM. Critical Appraisal Of Epidemiological Studies And Clinical Trials. 2nd ed. New York: Oxford University Press. 1998.

Estepa A; Sánchez Cobo FT. Empirical research on the understanding of association and implications for the training of researchers. In Batanero C. (ed.), Training Researchers in the Use of Statistics. International Association for Statistical Education and International Statistical Institute. Granada, Spain. pp. 37–51. 2001.

Eysenbach G; Sa E-R. Code of conduct is needed for publishing raw data. BMJ. 2001; 323: 166.

Falissard B. Analysis of Questionnaire Data with R. Boca Raton: CRC Press. 2012.

Fanelli D. How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data. PLoS One. 2009; 4: 1–11.

Farquhar AB and Farquhar H. Economic and Industrial Delusions: A Discourse of the Case for Protection. Putnam: New York, 1891.

Farquhar AB; Farquhar H. Economic and Industrial Delusions: A Discussion of the Case for Protection. G.P. Putnam’s Sons, New York and London. 1851.

Fears TR; Tarone RE; and Chu KC. False-positive and false-negative rates for carcinogenicity screens. Cancer Res. 1977; 37: 1941–1945.

Feinstein AR. P-values and confidence intervals: two sides of the same unsatisfactory coin. J. Clin Epidem. 1998; 51: 355–360.

Feinstein AR; Concato J. The quest for “power”: Contradictory hypotheses and inflated sample sizes. J. Clin Epidem. 1998; 51: 537–545.

Feller W. An Introduction to Probability Theory and Its Applications. vol. 2. Wiley, 1966.

Felson DT; Anderson JJ; Meenan RF. The comparative efficacy and toxicity of second-line drugs in rheumatoid arthritis. Arthritis and Rheumatism. 1990; 33: 1449–1461.

Felson DT; Cupples LA; Meenan RF. Misuse of statistical methods in Arthritis and Rheumatism. 1982 versus 1967–68. Arthritis and Rheumatism. 1984; 27: 1018–1022.

Feng Z; Grizzle J. Correlated binomial variates: properties of estimator of ICC and its effect on sample size calculation. Statist. Med. 1992; 11: 1607–1614.

Feng Z; McLerran D; Grizzle J. A comparison of statistical methods for clustered data analysis with Gaussian error. Statist. Med. 1996; 15: 1793–1806.

Feng Z; Diehr P; Peterson A; McLerran D. Selected statistical issues in group randomized trials. Annual Rev. Public Health. 2001; 22: 167–187.

Fergusson D; Glass KC; Waring D; Shapiro S. Turning a blind eye: The success of blinding reported in a random sample of randomised, placebo controlled trials. BMJ. 2004; 328: 432.

Fienberg SE. Damned lies and statistics: Misrepresentations of honest data. In: Editorial Policy Committee. Ethics and Policy in Scientific Publications. Council of Biology Editors. 1990. 202–206.

Fink A; Kosecoff JB. How to Conduct Surveys: A Step by Step Guide. Sage. 1988.

Finney DJ. The responsible referee. Biometrics. 1997; 53: 715–719.

Firth D. General linear models. In Statistical Theory and Modelling, DV Hinkley, N Reid, and EJ Shell, eds. Chapman and Hall, London. 1991. 55–82.

Fisher NI; Hall P. On bootstrap hypothesis testing. Australian J. Statist. 1990; 32: 177–190.

Fisher NI; Hall P. Bootstrap algorithms for small samples. J. Statist Plan Infer. 1991; 27: 157–169.

Fisher RA. Design of Experiments. New York: Hafner; 1935.

Fisher RA. Statistical Methods and Scientific Inference. 3rd ed. New York: Macmillan, 1973.

Fleming TR. Surrogate markers in AIDs and cancer trials. Statist. Med. 1995; 13: 1423–1435.

Fligner MA; Killeen TJ. Distribution-free two-sample tests for scale. JASA. 1976; 71: 210–212.

Fowler FJ Jr; Fowler FJ. Improving Survey Questions: Design and Evaluation, Sage 1995.

Frank D; Trzos RJ; and Good P. Evaluating drug-induced chromosome alterations. Mutation Res. 1978; 56: 311–317.

Freedman DA. A note on screening regression equations. Amer. Statist. 1983; 37: 152–155.

Freedman DA. As others see us: A case study in path analysis. J. Educat. Statist. 1987; 12: 101–128.

Freedman DA. From association to causation. Statist. Sci. 1999; 14: 243–258.

Freedman D; Lane D. A nonstochastic interpretation of reported significance levels. J. Bus. Econom. Statist. 1983; 1: 292–298.

Freedman DA; Navidi W; Peters SC. On the impact of variable selection in fitting regression equations. In Dijkstra TK (ed.), On Model Uncertainty and Its Statistical Implications. Springer: Berlin. 1988. pp. 1–16.

Freeman PR. The role of p-values in analysing trial results. Stat. Med. 1993; 12: 1443–1452.

Friedman LM; Furberg CD; DeMets DL. Fundamentals of Clinical Trials. 3rd ed. St. Louis: Mosby. 1996.

Friedman M. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. JASA. 1937; 32: 675–701.

Freiman JA; Chalmers TC; Smith H; Kuebler RR. The importance of beta, the type II error, and sample size in the design and interpretation of the randomized controlled trial. NEJM. 1978; 299: 690–694.

Fritts HC; Guiot J; Gordon GA. Verification; In: Cook E.R; and Kairiukstis L.A; eds; Methods of Dendrochronology; Applications in the Environmental Sciences: Kluwer Academic Publishers. 1990. pp. 178–185.

Fujita T; Ohue T; Fuji Y; Miyauchi A; Takagi Y. Effect of calcium supplement on bone density and parathyroid function in elderly subjects. Miner Electrolyte Metabolism. 1995; 21: 229–231.

Fujita T; Ohue T; Fuji Y; Miyauchi A; Takagi Y. Heated oyster shell–seaweed calcium (AAA Ca) on osteoporosis. Calcified Tissue International. 1996; 58: 226–230.

Fujita T; Fujii Y; Goto B; Miyauchi A; Takagi Y. Peripheral computed tomography (pQCT) detected short–term effect of AAACa (heated oyster shell with heated algal ingredient HAI): a double–blind comparison with CaCO₃ and placebo. J. Bone Miner Metab. 2000; 18: 212–215.

Fujita T; Ohue T; Fuji Y; Miyauchi A; Takagi Y. Reappraisal of the Katsuragi Calcium study, a prospective, double-blind, placebo-controlled study of the effect of active absorbable algal calcium (AAACa) on vertebral deformity and fracture. J. Bone Mineral Metabolism. 2004; 22: 32–38.

Fukada S. Effects of active amino acid calcium: its bioavailability in intestinal absorption and removal of plutonium in animals. J. Bone and Mineral Metabolism. 1993; 11: S47–S51.

Gail MH; Byar DP; Pechacek TF; Corle DK. Aspects of statistical design for the Community Intervention Trial for Smoking Cessation (COMMIT). Cont. Clin. Trials. 1992; 123: 6–21.

Gail MH; Mark SD; Carroll R; Green S; Pee D. On design considerations and randomization-based inference for community intervention trials. Statist. Med. 1996; 15: 1069–1092.

Gail MH; Tan WY; Piantadosi S. Tests for no treatment effect in randomized clinical trials. Biometrika. 1988; 75: 57–64.

Gallant AR. Nonlinear Statistical Models. Wiley, 1987.

Gardner, MJ; Altman DG. Confidence intervals rather than P values: Estimation rather than hypothesis testing. BMJ. 1996; 292: 746–750.

Gardner MJ; Bond J. An exploratory study of statistical assessment of papers published in the Journal of the American Medical Association. JAMA. 1990; 263: 1355–1357.

Gardner MJ; Machin D; Campbell MJ. Use of check lists in assessing the statistical content of medical studies. BMJ. 1986; 292: 810–812.

Garthwaite PH. Confidence intervals from randomization tests. Biometrics. 1996; 52: 1387–1393.

Gastwirth JL; Rubin H. Effect of dependence on the level of some one–sample tests. JASA. 1971; 66: 816–820.

Gavarret J. Principes Généraux de Statistique Medicale. Libraires de la Faculte de Medecine de Paris, Paris. 1840.

Geary RC. Testing normality. Biometrika. 1947; 34: 241.

George SL. Statistics in medical journals: A survey of current policies and proposals for editors. Medical and Pediatric Oncology. 1985; 13: 109–112.

Geweke JK; DeGroot MH. Optimal Statistical Decisions. McGraw-Hill, New York. 1970.

Gigerenzer G. Calculated Risks: How To Know When Numbers Deceive You. Simon & Schuster, NY. 2002.

Gill J. Whose variance is it anyway? Interpreting empirical models with state-level data. State Politics and Policy Quarterly. Fall 2001, 318–338.

Gillett R. Meta-analysis and bias in research reviews. Journal of Reproductive and Infant Psychology. 2001; 19: 287–294.

Gine E; Zinn J. Necessary conditions for a bootstrap of the mean. Ann. Statist. 1989; 17: 684–691.

Glantz S. Biostatistics: How to detect: correct: and prevent errors in the medical literature. Circulation. 1980; 61: 1–7.

Glass GV; Peckham PD; Sanders JR. Consequences of failure to meet the assumptions underlying the fixed effects analysis of variance and covariance. Reviews in Educational Research. 1972; 42: 237–288.

Godino JD; Batanero C; Gutierrez-Jaimez RG. The statistical consultancy workshop as a pedagogical tool. In Batanero C. (ed.), Training Researchers In The Use Of Statistics. Granada: International Association for Statistical Education and International Statistical Institute. pp. 339–353. 2001.

Goldberger AS. (1961). Note on stepwise least squares. JASA. 56(293): 105–110.

Gong G. Cross-validation, the jackknife and the bootstrap: Excess error in forward logistic regression. JASA. 1986; 81: 108–113.

Gonzales GF; Cordova A; Gonzales C; Chung A; Vega K; Villena A. Lepidium meyenii (Maca) improved semen parameters in adult men. Asian J. Andrology. 2001; 4: 301–303.

Good IJ. Probability and the Weighing of Evidence. London: Griffin. 1950.

Good IJ. The Bayes/non–Bayes compromise: a brief review. JASA. 1992; 87: 597–606.

Good PI. Detection of a treatment effect when not all experimental subjects will respond to treatment, Biometrics. 1979; 35: 483–489.

Good PI. Almost most powerful tests against composite alternatives. Commun. Statist. 1989; 18: 1913.

Good PI. Most powerful tests for use in matched pair experiments when data may be censored. J. Statist. Comput. Simul. 1991; 38: 57–63.

Good PI. Globally almost most powerful tests for censored data. J. Nonpar. Statist. 1992; 1: 253–262.

Good PI. Applying Statistics in the Courtroom. Chapman and Hall/CRC. 2001.

Good PI. Extensions of the concept of exchangeability and their applications to testing hypotheses. J. Modern Stat. Anal. 2002; 2: 243–247.

Good PI. Permutation Tests. Springer, New York, 1994.

Good PI. Permutation, Parametric, and Bootstrap Tests of Hypotheses. 3rd ed. New York: Springer. 2005.

Good PI. Resampling Methods. 3rd ed. Boston: Birkhauser. 2006a.

Good PI. Managers’ Guide to the Design and Conduct of Clinical Trials, Wiley, 2nd ed., 2006b.

Good PI; Lunneborg CE. Limitations of the analysis of variance: The one-way design. J. Modern Appl. Statist. Methods. 2005; 5: 41–43.

Good PI; Xie F. Analysis of a crossover clinical trial by permutation methods. Contemporary Clinical Trials. 2008; 29: 565–568.

Good PI. Refuting the Testimony of Biomechanical Experts. Zanybooks, Huntington Beach. 2009.

Good PI. A new look at old inflationary theory. Physics Essays. 2010; 23: 368–372.

Good PI. Robustness of Pearson correlation. http://interstat.statjournals.net/YEAR/2009/articles/0906005.pdf

Good PI. Practitioner’s Guide to Resampling Methods. CRC, 2012.

Good PI. The A thru Z of Error-Free Research. CRC, 2012.

Goodman SN. Towards evidence-based medical statistics. II. The Bayes Factor. Ann. Intern. Med. 1999; 130: 1005–1013.

Goodman SN. Of p-values and Bayes: a modest proposal. Epidemiology. 2001; 12: 295–297.

Goodman SN; Altman DG; George SL. Statistical reviewing policies of medical journals: Caveat lector? J. Gen Intern Med. 1998; 13: 753–756.

Gore S; Jones IG; Rytter EC. Misuse of statistical methods: critical assessment of articles in BMJ from January to March 1976. BMJ. 1977; 1: 85–87.

Götzsche PC. Reference bias in reports of drug trials. BMJ. 1987; 295: 654–656.

Götzsche PC; Podenphant J; Olesen M; Halberg P. Meta-analysis of second-line antirheumatic drugs: Sample size bias and uncertain benefit. J. Clin. Epidemiol. 1992; 45: 587–594.

Gower JC; Hand DJ. Biplots. CRC. 1995.

Gower JC; Groenen P; Van de Velden M; Vines K. Perceptual mapsraham: The good, the bad, and the ugly. Research in Management ERS-2010-011-MKT.

Graham MH. Confronting multicollinearity in ecological multiple regression. Ecology. 2003; 84: 2809–2815.

Grant A. Reporting controlled trials. British J. Obstetrics and GynaEcology. 1989; 96: 397–400.

Graumlich L. A 1000-year record of temperature and precipitation in the Sierra Nevada, Quaternary Research. 1993; 39: 249–255.

Green PJ; Silverman BW. Nonparametric Regression and Generalized Linear Models. Chapman and Hall, London. 1994.

Greene HL; Roden DM; Katz RJ; Woolsley M; Salerno DM; Henthorne RW. (1992) The Cardiac Arrhythmia Suppression Trial: first CAST … then CAST II. J. Am Coll Cardiol. 19: 894–898.

Greenland S. Modeling and variable selection in epidemiologic analysis. Am J. Public Health. 1989; 79: 340–349.

Greenland S. Randomization, statistics, and causal inference, Epidemiology. 1990; 1: 421–429.

Greenland S. Probability logic and probabilistic induction [see comments]. Epidemiology. 1998; 9: 322–332.

Gurevitch J; Hedges LV. Meta-analysis: combining the results of independent studies in experimental Ecology. Pages 378–398 in S. Scheiner and J. Gurevitch; editors. The Design and Analysis of Ecological Experiments. Chapman and Hall, London. 1993.

Guthery FS; Lusk JJ; Peterson MJ. The fall of the null hypothesis: liabilities and opportunities. J. Wildlife Management. 2001; 65: 379–384.

Guttorp P. Stochastic Modeling of Scientific Data. Chapman and Hall, London. 1995.

Hagood MJ. Statistics for Sociologists. Reynal and Hitchcock. 1941.

Häggström LE. Measurement errors in Poisson regressions: A simulation study based on travel frequency data. J. Transp. Statist. 2006; 9: Nr 1.

Hall P; Wilson SR. Two guidelines for bootstrap hypothesis testing. Biometrics. 1991; 47: 757–762.

Hardin JW; Hilbe JM. Generalized Estimating Equations. Chapman and Hall/CRC, London. 2003.

Hardin JW; Hilbe JM. Generalized Linear Models and Extensions, 2nd Edition. Stata Press, College Station, TX. 2007.

Harley SJ; Myers RA. Hierarchical Bayesian models of length–specific catchability of research trawl surveys. Canadian J. Fisheries Aquatic Sciences. 2001; 58: 1569–1584.

Harrell FE; Lee KL. A comparison of the discrimination of discriminant analysis and logistic regression under multivariate normality. In Sen PK (ed.), Biostatistics: Statistics in Biomedical; Public Health; and Environmental Sciences. The Bernard G. Greenberg Volume. New York: North–Holland. 1985. pp. 333–343.

Harrell FE; Lee KL; Mark DB. Multivariable prognostic models: Issues in developing models; evaluating assumptions and adequacy; and measuring and reducing errors. Statist. Med. 1996; 15: 361–387.

Hastie T; Tibshirani R; Friedman JH. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer. 2001.

Hausman JA. Specification tests in econometrics. Econometrica. 1978; 46: 1251–1271.

Hedges LV; Olkin I. Statistical Methods For Meta-analysis. Academic Press, New York. 1985.

Henschke CI; Yankelevitz DF; Libby DM; Pasmantier MW; Smith JP; Miettinen OS. Survival of patients with stage I lung cancer detected on CT screening. N. Engl. J. Med. 2006; 355: 1763–1771.

Hertwig R; Todd PM. Biases to the left, fallacies to the right: Stuck in the middle with null hypothesis significance testing (with discussion). Psycoloquy. 2000; 11: #28.

Hilton J. The appropriateness of the Wilcoxon test in ordinal data. Statist. Med. 1996; 15: 631–645.

Hinkley DV; Shi S. Importance sampling and the nested bootstrap. Biometrika. 1989; 76: 435–446.

Hodges JS. Uncertainty, policy analysis, and statistics. Statist. Sci. 1987; 2: 259–291.

Hoenig JM; Heisey DM. The abuse of power: The pervasive fallacy of power calculations for data analysis. Amer. Statist. 2001; 55: 19–24.

Horwitz RI. Large scale randomised evidence; large simple trials and overviews of trials: discussion—A clinician’s perspective on meta-analysis. J. Clin. Epidemiol. 1995; 48: 41–44.

Horwitz RI; Singer BH; Makuch RW; Viscoli CM. Clinical versus statistical considerations in the design and analysis of clinical research. J. Clinical Epidemiology. 1998; 51: 305–307.

Hosmer DW; Lemeshow SL. Applied Logistic Regression. Wiley, 2001.

Hout M; Mangels L; Carlson J; Best R. Working paper: The effect of electronic voting machines on change in support for Bush in the 2004 Florida elections. http://www.yuricareport.com/ElectionAftermath04/BerkeleyElection04_WP.pdf. 2005.

Hsu JC. Multiple Comparisons: Theory and Methods. Chapman and Hall/CRC, 1996.

Huber PJ. Robust Statistics. Wiley, 1981.

Hume D. An Enquiry Concerning Human Understanding. Oxford University Press. 1748.

Hungerford TW. Algebra. Holt, Rinehart, and Winston, New York. 1974.

Hunter JE; Schmidt FL. Eight common but false objections to the discontinuation of significance testing in the analysis of research data. Pages 37–64 in L. L. Harlow; S. A. Mulaik; J. H. Steiger, eds. What If There Were No Significance Tests? Lawrence Erlbaum Assoc, Mahwah, NJ. 1997.

Hurlbert SH. Pseudoreplication and the design of ecological field experiments. Ecological Monographs. 1984; 54: 198–211.

Husted JA; Cook RJ; Farewell VT; Gladman DD. Methods for assessing responsiveness: A critical review and recommendations. J. Clinical Epidemiology. 2000; 53: 459–468.

Hutchon DJR. Infopoints: Publishing raw data and real time statistical analysis on e–journals. BMJ. 2001; 322: 530.

International Committee of Medical Journal Editors. Uniform requirements for manuscripts submitted to biomedical journals. JAMA. 1997; 277: 927–934.

International Study of Infarct Survival Collaborative Group. Randomized trial of intravenous streptokinase, oral aspirin, both or neither, among 17187 cases of suspected acute myocardial infarction. ISIS–2. Lancet. 1988; 2: 349–362.

Jagers P. Invariance in the linear model—An argument for chi-square and F in nonnormal situations. Mathematische Operationsforschung und Statistik. 1980; 11: 455–464.

Jennison C; Turnbull BW. Group Sequential Methods with Applications to Clinical Trials. CRC. 1999.

John LK; Loewenstein G; Prelec D. Measuring the prevalence of questionable research practices with incentives for truth-telling. Psycholog. Sci. 2012 (in press).

Johnson DH. The insignificance of statistical significance testing. J. Wildlife Management. 1999; 63: 763–772.

Jones LV. Statistics and research design. Annual Review Psych. 1955; 6: 405–430.

Jones LV; Tukey JW. A sensible formulation of the significance test. Psychol. Meth. 2000; 5: 411–416.

Judson HF. The Great Betrayal. Fraud in Science. Harcourt: Orlando. 2004.

Kadane IB; Dickey J; Winklcr R; Smith W; Peters S. Interactive elicitation of opinion for a normal linear model. JASA. 1980; 75: 845–854.

Kanarek MS; Conforti PM; Jackson LA; Cooper RC; Murchio JC. Asbestos in drinking water and cancer incidence in the San Francisco Bay Area. Amer. J. Epidemiol. 1980; 112: 54–72.

Kaplan J. Misuses of statistics in the study of intelligence: The case of Arthur Jensen (with disc). Chance. 2001; 14: 14–26.

Kass R; Raftery A. Bayes factors. JASA. 1995; 90: 773–795.

Katz KA. The (relative) risks of using odds ratios. Arch Dermatol. 2006; 142: 761–764.

Kaye DH. Plemel as a primer on proving paternity, 1988. 24 Willamette L. Rev. 867.

Kelly E; Campbell K; Michael D; Black P. Using statistics to determine data adequacy for environmental policy decisions. LA–UR–98–3420. Los Alamos National Laboratory. 1998.

Kennedy PE. Randomization tests in econometrics. J. Business and Economic Statist. 1995; 13: 85–95.

Keynes JM. A Treatise on Probability. Macmillan, London. 1921.

Knight K. On the bootstrap of the sample mean in the infinite variance case. Annal Statist. 1989; 17: 1168–1173.

Koenker R; Hallock KF. Quantile Regression. Journal of Economic Perspectives. 2001; 15: 143–156.

Krafft M; Kullgren A; Ydenius; Tingvall C. Influence of crash pulse characteristics on whiplash associated disorders in rear impacts––crash recording in real life crashes. Traffic Injury Prevention. 2002; 3: 141–149.

Kumar S; Ferrari R; Narayan Y. Kinematic and electromyographic response to whiplash-type impacts. Effects of head rotation and trunk flexion: Summary of research. Clinical Biomechanics. 2005; 20: 553–568.

Künsch H. The jackknife and the bootstrap for general stationary observations. Ann. Statist. 1989; 17: 1217–1241.

Kwon H-H; Moon Y-I. Improvement of overtopping risk evaluations using probabilistic concepts for existing dams. Stochastic Environ. Res. Risk Assess. 2006; 20: 223–237.

Lehmann EL. Elements of Large-Sample Theory. Springer, New York, 1999.

Lachin JM. Sample size determination. In Encyclopedia of Biostatistics, 5. Armitage P; Colton T. (editors). John Wiley and Sons: Chichester. 1998. pp. 3892–3903.

Ladanyi A; Sher AC; Herlitz A; Bergsrud DE; Kraeft S-K; Kepros J; McDaid G; Ferguson D; Landry ML; Chen LB. Automated detection of immunofluorescently labeled cytomegalovirus-infected cells in isolated peripheral blood leukocytes using decision tree analysis. Cytometry. 2004; 58A: 147–156.

Lambert D. Robust two–sample permutation tests. Ann. Statist. 1985; 13: 606–625.

Lang TA; Secic M. How to Report Statistics in Medicine. American College of Physicians. Philadelphia. 1997.

Lau J; Ioannidis JPA; Terrin N; Schmid CH; Olkin I. The case of the misleading funnel plot. BMJ. 2006; 333: 597–600.

Lehmann EL. Testing Statistical Hypotheses. 2nd ed. Wiley, 1986.

Lehmann EL. The Fisher, Neyman-Pearson theories of testing hypotheses: one theory or two? JASA. 1993; 88: 1242–1249.

Lehmann EL. Elements of Large-Sample Theory. Springer, New York, 1999.

Lehmann EL; Casella G. Theory of Point Estimation. Springer, New York. 2nd ed. 1998.

Lehmann EL; D’Abrera HJM. Nonparametrics: Statistical Methods Based on Ranks. McGraw-Hill, New York. 2nd ed. 1988.

Leigh JP; Schembri M. Instrumental variables technique: cigarette price provided better estimate of effects of smoking on SF-12. J. Clinical Epidemiology. 2004; 57: 284–293.

Leizorovicz A; Haugh MC; Chapuis F-R; Samama MM; Boissel J–P. Low molecular weight heparin in prevention of perioperative thrombosis. BMJ. 1992; 305: 913–920.

Lettenmaier DP. Space-time correlation and its effect on methods for detecting aquatic ecological change. Canadian J. Fisheries Aquatic Science. 1985; 42: 1391–1400. Correction—1986; 43: 1680.

Lewis D; Burke CJ. Use and misuse of the chi-square test. Psych Bull. 1949; 46: 433–489.

Liang KY; Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika. 1986; 73: 13–22.

Lieberson S. Making it Count. University of California Press, Berkeley. 1985.

Light RJ; Pillemer DB. Summing Up: The Science of Reviewing Research. Harvard University Press, Cambridge, Massachusetts. 1984.

Lindley DV. The choice of sample size. The Statistician 1997; 46: 129–138; 163–166.

Lindley DV. The philosophy of statistics (with discussion). The Statistician. 2000; 49: 293–337.

Linnet K. Performance of Deming regression analysis in case of misspecified analytical error ratio in method comparison studies. Clinical Chemistry. 1998; 44: 1024–1031.

Linnet K. Necessary sample size for method comparison studies based on regression analysis. Clinical Chemistry. 1999; 45: 882–894.

Lissitz RW; Chardos S. A study of the effect of the violation of the assumption of independent sampling upon the type I error rate of the two group t–test. Educat. Psychol. Measurement. 1975; 35: 353–359.

Litière S; Alonso A; Mohlenberghs G. The impact of a misspecified random-effects distribution on the estimation and the performance of inferential procedures in generalized linear mixed models. Statistics in Medicine. 2008; 27: 3125–3144.

Little RJA; Rubin DB. Statistical Analysis with Missing Data. Wiley, 1987.

Loader C. Local Regression and Likelihood. Springer: NY. 1999.

Locke J. Essay Concerning Human Understanding. Prometheus Books. 4th ed. 1700.

Lonergan JF. Insight: A Study of Human Understanding. Univ of Toronto Press. 1992.

Loo D. No paper trail left behind: The theft of the 2004 presidential election. http://www.projectcensored.org/newsflash/voter_fraud.html. 2005.

Lord FM. Statistical adjustment when comparing preexisting groups. Psych Bull. 1969; 72: 336–337.

Lovell DJ; Giannini EH; Reiff A; Cawkwell GD; Silverman ED; Nocton JJ; Stein LD; Gedalia A; Ilowite NT; Wallace CA; Whitmore J; Finck BK: The Pediatric Reumatology Collaborative Study Group. Etanercept in children with polyarticular juvenile rheumatoid arthritis. New Engl J. Med. 2000; 342: 763–769.

MacArthur RD; Jackson GG. An evaluation of the use of statistical methodology in the Journal of Infectious Diseases. J. Infectious Diseases. 1984; 149: 349–354.

Malone KM; Corbitt EM; Li S; Mann JJ. Prolactin response to fenuramine and suicide attempt lethality in major depression. British J. Psychiatry. 1996; 168: 324–329.

Mangel M; Samaniego FJ. Abraham Wald’s work on aircraft survivability. JASA. 1984; 79: 259–267.

Manly BFJ. Randomization, Bootstrap and Monte Carlo Methods in Biology. (2nd ed.). London: Chapman and Hall; 1997.

Manly BFJ; Francis C. Analysis of variance by randomization when variances are unequal. Aust. New Zeal. J. Statist. 1999; 41: 411–430.

Maritz JS. Distribution Free Statistical Methods. (2nd ed.) London: Chapman and Hall; 1996.

Marsh JL; Hutton JL; Binks K. Removal of radiation dose response effects: An example of over-matching. BMJ. 2002; 325(7359): 327–330.

Marshall BDL; Milloy M-J; Wood E; Montaner JSG; Kerr T. Reduction in overdose mortality after the opening of North America’s first medically supervised safer injecting facility: a retrospective population-based study. The Lancet. 2011; 377: 1429–1437.

Martin RF. General Deming regression for estimating systematic bias and its confidence interval in method-comparison studies. Clinical Chemistry. 2000; 46: 100–104.

Martinson BC; Anderson MS; Devries R. Scientists behaving badly. Nature. 2005; 435: 737–738.

Matthews JNS; Altman DG. Interaction 2: Compare effect sizes not P values. BMJ. 1996; 313: 808.

Mayo DG. Error and the Growth of Experimental Knowledge. University of Chicago Press. 1996.

McBride GB; Loftis JC; Adkins NC. What do significance tests really tell us about the environment? Environ. Manage. 1993; 17: 423–432. (erratum. 19, 317).

McCullagh P; Nelder JA. Generalized Linear Models, 2nd Edition, Chapman and Hall, London, UK. 1989.

McGuigan SM. The use of statistics in the British Journal of Psychiatry. British J. Psychiatry. 1995; 167: 683–688.

McKinney PW; Young MJ; Hartz A; Bi-Fong Lee M. The inexact use of Fisher’s exact test in six major medical journals. JAMA. 1989; 261: 3430–3433.

Mehta CR; Patel NR. A hybrid algorithm for Fisher’s exact test in unordered rxc contingency tables. Commun. Statist. 1986; 15: 387–403.

Mehta CR; Patel NR; Gray R. On computing an exact confidence interval for the common odds ratio in several 2 × 2 contingency tables. JASA. 1985; 80: 969–973.

Mena EA; Kossovsky N; Chu C; Hu C. Inflammatory intermediates produced by tissues encasing silicone breast prostheses. J. Invest Surg. 1995; 8: 31–42.

Michaelsen J. Cross-validation in statistical climate forecast models. J. Climate and Applied Meterorology. 1987; 26: 1589–1600.

Mielke PW; Berry KJ. Permutation Methods: A Distance Function Approach. Springer, New York. 2001.

Mielke PW; KJ Berry. Permutation covariate analyses of residuals based on Euclidean distance. Psychological Reports. 1997; 81: 795–802.

Mielke PW; Berry KJ; Landsea CW; Gray WM. Artificial skill and validation in meteorological forecasting. Weather and Forecasting. 1996; 11: 153–169.

Mielke PW; Berry KJ; Landsea CW; Gray WM. A single sample estimate of shrinkage in meteorological forecasting. Weather and Forecasting. 1997; 12: 847–858.

Miller ME; Hui SL; Tierney WM. Validation techniques for logistic regression models. Statist. Med. 1991; 10: 1213–1226.

Miller RG. Jackknifing variances. Annals Math. Statist. 1968; 39: 567–582.

Miller RG. Beyond Anova: Basics of Applied Statistics. Wiley, 1986.

Miyazaki Y; Terakado M; Ozaki K; Nozaki H. Robust regression for developing software estimation models. J. Systems Software. 1994; 27: 3–16.

Moher D; Cook DJ; Eastwood S; Olkin I; Rennie D; Stroup D. for the QUOROM Group. Improving the quality of reports of meta–analyses of randomised controlled trials: the QUOROM statement. Lancet. 1999; 354: 1896–1900.

Moiser CI. Symposium: the need and means of Cross-validation, I: problems and design of Cross-validation. Educat. Psych. Measure. 1951; 11: 5–11.

Montgomery DC; Myers RH. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. Wiley, 1995.

Moore T. (1995). Deadly Medicine: Why Tens of Thousands of Heart Patients Died in America’s Worst Drug Disaster. Simon and Schuster.

Morgan JN; Sonquist JA. Problems in the analysis of survey data and a proposal. JASA. 1963; 58: 415–434.

Morgan TM; Krumholz HM; Lifton RP; Spertus JA. Nonvalidation of reported genetic risk factors for acute coronary syndrome in a large-scale replication study. JAMA. 2007; 297: 1551–1561.

Morris RW. A statistical study of papers in the J. Bone and Joint Surgery BR. J. Bone and Joint Surgery BR. 1988; 70–B: 242–246.

Morrison DE; Henkel RE. The Significance Test Controversy. Aldine, Chicago. 1970.

Mosteller F. Problems of omission in communications. Clinical Pharmacology and Therapeutics. 1979; 25: 761–764.

Mosteller F; Chalmers TC. Some progress and problems in Meta-analysis of clinical trials. Stat. Sci. 1992; 7: 227–236.

Mosteller F; Tukey JW. Data Analysis and Regression: A second course in statistics. Addison-Wesley, Menlo Park, 1977.

Moyé LA. Statistical Reasoning in Medicine: The Intuitive P–Value Primer. Springer, New York. 2000.

Mulrow CD. The medical review article: state of the science. Ann Intern Med. 1987; 106: 485–488.

Murray GD. Statistical guidelines for the British Journal of Surgery. British J. Surgery. 1991; 78: 782–784.

Murray GD. The task of a statistical referee. British J. Surgery. 1988; 75: 664–667.

Nelder JA; Wedderburn RWM. Generalized linear models. JRSS A. 1972; 135: 370–384.

Nester M. An applied statistician’s creed. Appl. Statist. 1996; 45: 401–410.

Neyman J. Lectures and conferences on mathematical statistics and probability. 2nd ed., Washington, Graduate School, U.S. Dept. of Agriculture, 1952.

Neyman J. Silver jubilee of my dispute with Fisher. J. Operations Res. Soc. Japan. 1961; 3: 145–154.

Neyman J. Frequentist probability and frequentist statistics. Synthese. 1977; 36: 97–131.

Neyman J; Pearson ES. On the testing of specific hypotheses in relation to probability a priori. Proc. Cambridge Phil. Soc. 1933; 29: 492–510.

Neyman J; Pearson ES. On the problem of the most efficient tests of statistical hypotheses. Phil. Trans. Roy. Soc. A. 1933; 231: 289–337.

Neyman J; Scott EL. A theory of the spatial distribution of galaxies. Astrophysical J. 1952; 116: 144.

Nielsen-Gammon J. (2003). Sources of model error. http://www.met.tamu.edu/class/ATMO151/tut/moderr/moderrmain.html

Nieuwenhuis S; Forstmann BU; Wagenmakers EJ. Erroneous analyses of interactions in neuroscience: A problem of significance. Nat. Neurosci. 2011; 14: 1105–1107.

Nunes T; Pretzlik U; Ilicak S. Validation of a parent outcome questionnaire from pediatric cochlear implantation. J. Deaf Stud. Deaf Educ. 2005; 10: 330–356.

Nurminen M. Prognostic models for predicting delayed onset of renal allograft function. Internet Journal of Epidemiology. 2003; 1: 1.

Nurmohamed MT; Rosendaal FR; Bueller HR; Dekker E; Hommes DW; Vandenbroucke JP; Briët E. Low-molecular-weight heparin versus standard heparin in general and orthopaedic surgery: a meta-analysis. Lancet. 1992; 340: 152–156.

O’Brien PC. The appropriateness of analysis of variance and multiple–comparison procedures. Biometrics. 1983; 39: 787–788.

O’Brien PC. Comparing two samples: extension of the t, rank-sum, and log-rank tests. JASA. 1988; 83: 52–61.

Oja H. On permutation tests in multiple regression and analysis of covariance problems. Austral. J. Statist. 1981; 29: 91–100.

Okano T; Kimura T; Tsugawa N; Oshio Y; Teraoka Y; Kobayashi T. Bioavailability of calcium from oyster shell electrolysate and dl-calcium lactate in vitamin d-replete or vitamin d-deficient rats. J. Bone Miner Metab. 1993; 11: S23–S32.

Oldham PD. A note on the analysis of repeated measurements of the same subjects. J. Chron. Dis. 1962; 15: 969–977.

Olsen CH. Review of the use of statistics in Infection and Immunity. Infection and Immunity. 2003; 71: 6689–6692.

Osborne J; Waters E. Four assumptions of multiple regression that researchers should always test. Practical Assessment, Research; Evaluation. 2002; 8(2).

Padaki PM. Inconsistencies in the use of statistics in horticultural research. Hort. Sci. 1989; 24: 415.

Palmer RF; Graham JW; White EL; Hansen WB. Applying multilevel analytic strategies in adolescent substance use prevention research. Prevent. Med. 1998; 27: 328–336.

Pankratz A. Forecasting with Dynamic Regression Models. Wiley, 1991.

Parkhurst DF. Arithmetic versus geometric means for environmental concentration data. Environmental Science and Technology. 1998; 32: 92A–98A.

Parkhurst DF. Statistical significance tests: Equivalence and reverse tests should reduce misinterpretation. Bioscience. 2001; 51: 1051–1057.

Parzen E. 1990. Personal communication.

Perlich C; Provost F; Simonoff JS. Tree induction vs. logistic regression: a learning–curve analysis. Journal of Machine Learning Research. 2003; 4: 211–255.

Pesarin F. On a nonparametric combination method for dependent permutation tests with applications. Psychotherapy and Psychosomatics. 1990; 54: 172–179.

Pesarin F. Multivariate Permutation Tests. Wiley, 2001.

Pettitt AN; Siskind V. Effect of within-sample dependence on the Mann-Whitney-Wilcoxon statistic. Biometrika. 1981; 68: 437–441.

Phipps MC. Small samples and the tilted bootstrap. Theory of Stochastic Processes. 1997; 19: 355–362.

Picard RR; Berk KN. Data splitting. American Statistician. 1990; 44: 140–147.

Picard RR; Cook RD. Cross-validation of regression models. JASA. 1984; 79: 575–583.

Pierce CS. Values in a University of Chance. Wiener PF (ed.) New York: Doubleday Anchor Books. 1958.

Pike G; Santamaria J; Reece S; DuPont R; Mangham C; Christian G. Analysis of the 2011 Lancet study on deaths from overdose in the vicinity of Vancouver’s Insite Supervised Injection Facility. http://www.drugfree.org.au/fileadmin/Media/Global/Lancet_2011_Insite_Analysis.pdf.

Pilz J. Bayesian Estimation and Experimental Design in Linear Regression Models. 2nd ed, Wiley, 1991.

Pinelis IF. On minimax risk. Theory Prob. Appl. 1988; 33: 104–109.

Pitman EJG. Significance tests which may be applied to samples from any population. Roy. Statist. Soc. Suppl. 1937; 4: 119–130, 225–232.

Pitman EJG. Significance tests which may be applied to samples from any population. Part III. The analysis of variance test. Biometrika. 1938; 29: 322–335.

Pocock SJ; Assmann SE; Enos LE; Kasten LE. Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems. Statist. Med. 2002; 21: 2917–2930.

Politis D; Romano J. A circular block-resampling procedure for stationary data, in Exploring the limits of bootstrap. LePage R and Billard L (eds.), 263–270, Wiley, 1992.

Poole C. Beyond the confidence interval. Amer. J. Public Health. 1987; 77: 195–199.

Poole C. Low p-values or narrow confidence intervals: which are more durable? Epidemiology. 2001; 12: 291–294.

Porter AMW. Misuse of correlation and regression in three medical journals. JRSM. 1999; 92: 123–128.

Praetz P. A note on the effect of autocorrelation on multiple regression statistics. Australian J. Statist. 1981; 23: 309–313.

Proschan MA; Waclawiw MA. Practical guidelines for multiplicity adjustment in clinical trials. Controlled Clinical Trials. 2000; 21: 527–539.

Rabe–Hesketh S; Skrondal A. Multilevel and Longitudinal Modeling Using Stata. Stata Press, College Station, TX. 2008.

Ravnskov U. Cholesterol lowering trials in coronary heart disease: frequency of citation and outcome. BMJ. 1992; 305: 15–19.

Rea LM; Parker RA; Shrader A. Designing and Conducting Survey Research: A Comprehensive Guide. Jossey-Bass. 2nd ed. 1997.

Redmayne M. Bayesianism and proof, in Science in Court, M. Freeman, Reece H. eds., Ashgate, Brookfield MA. 1998.

Reich ES. Plastic Fantastic. How the Biggest Fraud in Physics Shook the Scientific World. Palgrave MacMillan, New York, 2009.

Reichenbach H. The Theory of Probability. University of California Press, Berkeley 1949.

Rencher AC; Pun F–C. Inflation of R² in best subset regression. Technometrics. 1980; 22: 49–53.

Rice SA; Griffin JR. The hornworm assay: Useful in mathematically based biological investigations. American Biology Teacher. 2004; 66: 487–491.

Riess AG; Strolger L-G; Casertano S; Ferguson HC; Mobasher B; Gold B; Challis PJ; Filippenko AV; Jha S; Li W; Tonry J; Foley R; Kirshner RP; Dickinson M; MacDonald E; Eisenstein D; Livio M; Younger J; Xu C; Dahlén T; Stern D. New Hubble Space Telescope Discoveries of Type Ia Supernovae at z ≥ 1: Narrowing constraints on the early behavior of dark energy. Astrophysical J. 2007; 659: 98.

Roberts EM; English PB; Grether JK; Windham GC; Somberg L; Wolff C. Maternal residence near agricultural pesticide applications and autism spectrum disorders among children in the California Central Valley. Environmental Health Perspectives. 2007; 115: 1482–1489.

Rogosa D. Casual models do not support scientific conclusions: a comment in support of freedman. J. Educat. Statist. 1987; 12: 185–195.

Rozen TD; Oshinsky ML; Gebeline CA; Bradley KC; Young WB; Shechter AL & SD Silberstein. Open label trial of coenzyme Q10 as a migraine preventive. Cephalalgia. 2008; 22: 137–141.

Romano JP. On the behavior of randomization tests without a group invariance assumption. JASA. 1990; 85: 686–692.

Rosenbaum PR. Observational Studies. Springer, 2nd ed. 2002.

Rosenberger W; Lachin JM. Randomization in Clinical Trials: Theory and Practice. Wiley, 2002.

Rothman KJ. Epidemiologic methods in clinical trials. Cancer. 1977; 39: 1771–1775.

Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology. 1990; 1: 43–46.

Rothman KJ. Statistics in nonrandomized studies, Epidemiology. 1990; 1: 417–418.

Roy J. Step-down procedure in multivariate analysis. Ann. Math. Stat. 1958; 29: 1177–1187.

Royall RM. Statistical Evidence: A Likelihood Paradigm. Chapman and Hall, New York. 1997.

Rozeboom W. The fallacy of the null hypothesis significance test. Psychol. Bull. 1960; 57: 416–428.

Salmaso L. Synchronized permutation tests in 2^k factorial designs. Int. J. Non Linear Model. Sci. Eng. 2002; 32: 1419–1438.

Saslaw W. The Distribution of the Galaxies. Gravitational Clustering in Cosmology. Cambridge University Press. 2008.

Savage LJ. The Foundations of Statistics. Dover Publications, 1972.

Saville DJ. Multiple comparison procedures: The practical solution. American Statistician 1990; 44: 174–180.

Saville DJ. Basic statistics and the inconsistency of multiple comparison procedures. Canadian J. Exper. Psych. 2003; 57: 167–175.

Schlesselman JJ. Case-Control Studies: Design, Conduct, Analysis. Oxford University Press, Oxford: 1982.

Schmidt FL. Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. Psychol. Meth. 1996; 1: 115–129.

Schenker N. Qualms about bootstrap confidence intervals. JASA. 1985; 80: 360–361.

Schor S; Karten I. Statistical evaluation of medical manuscripts. JASA. 1966; 195: 1123–1128.

Schroeder YC. The procedural and ethical ramifications of pretesting survey questions. Amer J. of Trial Advocacy. 1987; 11: 195–201.

Schulz KF. Randomised trials, human nature, and reporting guidelines. Lancet. 1996; 348: 596–598.

Schulz KF. Subverting randomization in controlled trials. JAMA. 1995; 274: 1456–1458.

Schulz KF; Chalmers I; Hayes R; Altman DG. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA. 1995; 273: 408–412.

Schulz KF, Grimes DA. Blinding in randomized trials: hiding who got what. Lancet. 2002; 359: 696–700.

Seidenfeld T. Philosophical Problems of Statistical Inference. Reidel, Boston. 1979.

Selike T; Bayarri MJ; Berger JO. Calibration of p-values for testing precise null hypotheses. Amer. Statist. 2001; 55: 62–71.

Selvin H. A critique of tests of significance in survey research. Amer Soc. Rev. 1957; 22: 519–527.

Senn S. A personal view of some controversies in allocating treatment to patients in clinical trials. Statist. Med. 1995; 14: 2661–2674.

Shao J; Tu D. The Jacknife and the Bootstrap. New York, Springer; 1995.

Shapleske J; Rossell SL; Chitnis XA; Suckling J; Simmons A; Bullmore ET; Woodruff PTR; and David AS. A computational morphometric mri study of schizophrenia: Effects of hallucinations. Cerebral Cortex. 2002; 12: 1331–1341.

Sharp SJ; Thompson SG; Altman DG. The relation between treatment benefit and underlying risk in Meta-analysis. BMJ. 1996; 313: 735–738.

Sharp SJ; Thompson SG. Analysing the relationship between treatment effect and underlying risk in meta-analysis: comparison and development of approaches. Statist. Med. 2000; 19: 3251–3274.

Shuster JJ. Practical Handbook of Sample Size Guidelines for Clinical Trials. CRC, Boca Raton. 1993.

Simes RJ. Publication bias: The case for an international registry of clinical trials. J. Clinical Oncology. 1986; 4: 1529–1541.

Simon R. Bayesian subset analysis: application to studying treatment-by-gender interactions. Statist. Med. 2002; 21: 2909–2916.

Simpson JM; Klar N; Donner A. Accounting for cluster randomization: a review of primary prevention trials; 1990 through 1993. Am. J. Public Health. 1995; 85: 1378–1383.

Skrondal A; Rabe-Hesketh S. Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Chapman & Hall/CRC. Boca Raton, FL. 2004.

Smeeth L; Haines A; Ebrahim S. Numbers needed to treat derived from meta-analysis—Sometimes informative; usually misleading. BMJ. 1999; 318: 1548–1551.

Smith GD; Egger M. Commentary: Incommunicable knowledge? Interpreting and applying the results of clinical trials and meta-analyses. J. Clin. Epidemiol. 1998; 51: 289–295.

Smith GD; Egger M; Phillips AN. Meta-analysis: Beyond the grand mean? BMJ. 1997; 315: 1610–1614.

Smith PG; Douglas AJ. Mortality of workers at the Sellafield plant of British Nuclear Fuels. BMJ. 1986; 293: 845–854.

Smith TC; Spiegelhalter DJ; Parmar MKB. Bayesian meta-analysis of randomized trials using graphical models and BUGS. In Bayesian Biostatistics. Ed: Berry DA; Stangl DK. Marcel Dekker, New York. 1996. 411–427.

Snee RD. Validation of regression models: Methods and examples. Technometrics. 1977; 19: 415–428.

Sox HC; Blatt MA; Higgins MC; Marton KI. Medical Decision Making. Butterworth and Heinemann: Boston. 1988.

Spiegelhalter DJ. Probabilistic prediction in patient management. Statist. Med. 1986; 5: 421–433.

Springel V; White SDM; Jenkins A; Frenk CS; Yoshida N; Gao L; Navarro J; Thacker R; Croton D; Helly J; Peacock JA; Cole S; Thomas P; Couchman H; Evrard A; Colberg J; Pearce F. Simulations of the formation, evolution and clustering of galaxies and quasars. Nature. 2005; 435: 629–636.

Statistical Society of Australia Inc. (SSAI) Statistics: A Job for Professionals. http://www.statsoc.org.au/objectlibrary/288?filename=booklet.pdf

Sterling TD. Publication decisions and their possible effects on inferences drawn from tests of significance—or vice versa. JASA. 1959; 54: 30–34.

Sterne JA; Gavaghan D; Egger M. Publication and related bias in meta-analysis: power of statistical tests and prevalence in the literature. J Clin Epidemiol. 2000; 53: 1119–1129.

Sterne JAC; Smith GD; Cox DR. Sifting the evidence—What’s wrong with significance tests? Another comment on the role of statistical methods. BMJ. 2001; 322: 226–231.

Stewart L; Parmar M. Meta-analysis of the literature or of individual patient data: Is there a difference? Lancet. 1993; 341: 418–422.

Still AW; White AP. The approximate randomization test as an alternative to the F–test in the analysis of variance. Brit. J. Math Stat Psych. 1981; 34: 243–252.

Stöckl D; Dewitte K; Thienpont LM. Validity of linear regression in method comparison studies: Is it limited by the statistical model or the quality of the analytical input data? Clinical Chemistry. 1998; 44: 2340–2346.

Stockton CW; Meko DM. Drought recurrence in the Great Plains as reconstructed from long–term tree-ring records. J. of Climate and Applied Climatology. 1983; 22: 17–29.

Stone M. Cross-validatory choice and assessment of statistical predictions. JRSS B. 1974; 36: 111–147.

Strasak AM; Zaman Q; Pfeiffer KP; Göbel G; Ulmer H. Statistical errors in medical research—a review of common pitfalls. Swiss Med. Wkly. 2007; 137: 44–49.

Su Z; Adkison MD; Van Alen BW. A hierarchical Bayesian model for estimating historical salmon escapement and escapement timing. Canadian J. Fisheries and Aquatic Sciences. 2001; 58: 1648–1662.

Subrahmanyam M. A property of simple least squares estimates. Sankha. 1972; 34B: 355–356.

Sukhatme BV. A two sample distribution free test for comparing variances: Biometrika. 1958; 45: 544–548.

Suter GWI. Abuse of hypothesis testing statistics in ecological risk assessment. Human and Ecological Risk Assessment. 1996; 2: 331–347.

Szydloa RM; Gabriela I; Olavarriab E; Apperleya J. Sign of the zodiac as a predictor of survival for recipients of an allogeneic stem cell transplant for chronic myeloid leukaemia (CML): an artificial association. Transplant Proceedings. 2010; 42: 3312–3315.

Tabachnick BG; Fidell LS. Using Multivariate Statistics, 3rd edition. HarperCollins, 1996.

Tang JL; Liu JL. Misleading funnel plot for detection of bias in meta-analysis. J Clin Epidemiol. 2000; 53: 477–484.

Tatem AJ; Guerra CA; Atkinson PM; Hay SL. Women sprinters are closing the gap on men and may one day overtake them. Nature. 2004; 431: 526.

Taylor SJ. Stock index and price dynamics in the UK and the US: new evidence from a trading rule and statistical analysis. European J. Finance. 2000; 6: 39–69.

Teagarden JR. Meta-analysis: whither narrative review? Pharmacotherapy. 1989; 9: 274–284.

Tencer AF; Sohail M; Kevin B. The response of human volunteers to rear-end impacts: the effect of head restraint properties. Spine. 2001; 26: 2432–2440.

Therneau TM; Grambsch PM. Modeling Survival Data. Springer, New York. 2000.

Thompson SG. Why sources of heterogeneity in Meta-analysis should be investigated. BMJ. 1994; 309: 1351–1355.

Thompson SK; Seber GAF. Adaptive Sampling. Wiley. 1996.

Thorn MD; Pulliam CC; Symons MJ; Eckel FM. Statistical and research quality of the medical and pharmacy literature. American J. Hospital Pharmacy. 1985; 42: 1077–1082.

Tiku ML; Tan WY; Balakrishnan N. Robust Inference. New York and Basel, Marcel Dekker. 1990.

Tokita A; Maruyama T; Mori T; Hayashi M; Nittono H; Yabuta K. Intestinal absorption of AACa in bile duct ligated rats. J. Bone Miner. Met. 1993; 11(S2): S53–S55.

Tollenaar N; Mooijaart. Type I errors and power of the parametric bootstrap goodness-of-fit test: Full and limited information. British Journal of Mathematical and Statistical Psychology. 2003; 56: 271–288.

Torri V; Simon R; Russek–Cohen E; Midthune D; Friedman M. Statistical model to determine the relationship of response and survival in patients with advanced ovarian cancer treated with Chemotherapy. J. Nat. Cancer Institut. 1992; 84: 407–414.

Tribe L. Trial by mathematics: precision and ritual in the legal process. Harv L. Rev. 1971; 84: 1329.

Tsai C-C; Chen Z-S; Duh C-T; Horng F-W. Prediction of soil depth using a soil–landscape regression model: A case study on forest soils in southern Taiwan. Proc. Natl. Sci. Counc. ROC(B). 2001: 25: 34–39.

Tu D; Zhang Z. Jackknife approximations for some nonparametric confidence intervals of functional parameters based on normalizing transformations. Comput. Statist. 1992; 7: 3–5.

Tufte ER. The Visual Display of Quantitative Information. Graphics Press, Cheshire CT. 1983.

Tufte ER. Envisioning Data. Graphics Press. Graphics Press, Cheshire CT. 1990.

Tukey JW. Exploratory Data Analysis. Addison-Wesley: Reading MA. 1977.

Tukey JW. The philosophy of multiple comparisons. Statist. Sci. 1991; 6: 100–116.

Tukey JW; McLaughlin DH. Less vulnerable confidence and significance procedures for location based on a single sample; Trimming/Winsorization 1. Sankhya. 1963; 25: 331–352.

Turner RB; Bauer R; Woelkart K; Hulsey TC; Gangemi JD. An evaluation of echinacea angustifolia in experimental rhinovirus infections. New England Journal Medicine. 2005; 353: 341–348.

Tversky A; Kahneman D. Belief in the law of small numbers. Psychol. Bull. 1971; 76: 105–110.

Toutenburg H. Statistical Analysis of Designed Experiments. Springer-Verlag, New York. 2nd Ed. 2002.

Tyson JE; Furzan JA; Reisch JS; Mize SG. An evaluation of the quality of therapeutic studies in perinatal medicine. J. Pediatrics. 1983; 102: 10–13.

UGDP Investigation, University groups diabetes program: A study of the effects of hypoglycemic agents on vascular complications in patients with adult onset diabetes. JAMA. 1971; 218: 1400–1410.

United States Environmental Protection Agency. Data Quality Assessment: Statistical Methods for Practitioners EPA QA/G–9S EPA. D.C. 2006.

Vaisrub N. Manuscript review from a statisticians perspective. JAMA. 1985; 253: 3145–3147.

van Belle G. Statistical Rules of Thumb. Wiley, 2002.

Vandenbroucke JP; von Elm E; Altman DG; Gotzsche PC; Mulrow CD; Pocock SJ; Poole C; Schlesselman JJ; Egger M, for the STROBE Initiative. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration. PLoS Medicine. 2007; 4(10): 1628–1654. doi: 10.1371/journal.pmed.0040297

Varian HR. Benford’s Law. The American Statistician. 1972; 26: 65–66.

de Vendômois JS; Roullier F; Cellier D; Séralini GE. A comparison of the effects of three gm corn varieties on mammalian health. Int J Biol Sci. 2009; 5: 706–726.

Venn J. The Logic of Chance. MacMillan, London. 1888.

Vickers A; Cassileth B; Ernst E; Fisher P; Goldman P; Jonas W; Kang SK; Lewith G; Schulz K; Silagy C. How should we research unconventional therapies? International Journal of Technology Assessment in Health Care. 1997; 13: 111–121.

Victor N. The challenge of meta-analysis: discussion. J. Clin. Epidemiol. 1995; 48: 5–8.

Wainer H. Rounding tables. Chance. 1998; 11: 46–50.

Wainer H. Visual Revelations: Graphical Tales of Fate and Deception from Napoleon Bonaparte to Ross Perot. Springer, 1997.

Wainer H. Graphic Discovery: A Trout in the Milk and Other Visual Adventures. Princeton University Press, 2004.

Wald A. Statistical Decision Functions. Wiley, 1950.

Watterson IG. Nondimensional measures of climate model performance. Int. J. Climatology. 1966; 16: 379–391.

Weeks JR; Collins RJ. Screening for drug reinforcement using intravenous self-administration in the rat. In Bozarth MA (ed.) Methods of Assessing the Reinforcing Properties of Abused Drugs (pp. 35–43). New York, Springer-Verlag; 1987.

Weerahandi S. Exact Statistical Methods for Data Analysis. Springer Verlag, Berlin. 1995.

Weisberg S. Applied Linear Regression. 2nd ed. Wiley, 1985.

Welch BL. On the z-test in randomized blocks and Latin squares. Biometrika. 1937; 29: 21–52.

Welch GE; Gabbe SG. Review of statistics usage in the American J. Obstetrics and Gynecology. American J. Obstetrics and Gynecology. 1996; 175: 1138–1141.

Westfall DH; Young SS. Resampling-Based Multiple Testing: Examples and Methods for p-value Adjustment. Wiley, 1993.

Westgard JO. Points of care in using statistics in method comparison studies. Clinical Chemistry. 1998; 44: 2240–2242.

Westgard JO; Hunt MR. Use and interpretation of common statistical tests in method comparison studies. Clin. Chem. 1973; 19: 49–57.

White H. A reality check for data snooping. Econometrica. 2000; 68: 1097–1126.

White SJ. Statistical errors in papers in the British J. Psychiatry. British J. Psychiatry. 1979; 135: 336–342.

Whitehead J. Sample size calculations for ordered categorical data. Statistics in Medicine. 1993; 12: 2257–2271. 1994; 13: 871.

Wieland SC; Brownstein JS; Bsrger B; Mandi KD. Automated real time constant-specificity surveillance for disease outbreaks. BMC Med Inform. Decis. Mak. 2007; 7: 15.

Wilkinson L. The Grammar of Graphics. Springer-Verlag, New York. 1999.

Wilks DS. Statistical Methods In The Atmospheric Sciences. Academic Press. 1995.

Willick JA. Measurement of galaxy distances. In Formation of Structure in the Universe, Eds. A. Dekel and J. Ostriker. Cambridge University Press. 1999.

Wilson JW; Jones CP; Lundstrum LL. Stochastic properties of time-averaged financial data: explanation and empirical demonstration using monthly stock prices. Financial Review. 2001; 36: 175–190.

Wise TA. Understanding the farm problem: Six common errors in presenting farm statistics. http://www.ase.tufts.edu/gdae/Pubs/wp/05–02TWiseFarmStatistics.pdf 2005

Wu CFJ. Jackknife, bootstrap, and other resampling methods in regression analysis (with discussion.) Annals Statist. 1986; 14: 1261–1350.

Wu DM. Alternative tests of independence between stochastic regressors and disturbances. Econometrica. 1973; 41: 733–750.

Wulf HR; Andersen B; Brandenhof P; Guttler F. What do doctors know about statistics? Statistics in Medicine. 1987; 6: 3–10.

Yandell BS. Practical Data Analysis for Designed Experiments. Chapman and Hall, London. 1997.

Yau, N. Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics. Wiley, 2011.

Yoccoz NG. Use, overuse, and misuse of significance tests in evolutionary biology and Ecology. Bull Ecol Soc Amer. 1991; 72: 106–111.

Yoo S-H. A robust estimation of hedonic price models: least absolute deviations estimation. Applied Economics Letters. 2001; 8: 55–58.

Young A. Conditional data-based simulations: some examples from geometric statistics. Int. Statist. Rev. 1986; 54: 1–13.

Zeger SL; Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986; 42: 121–130.

Zhou X-H; Gao S. Confidence intervals for the log-normal mean. Statist. Med. 1997; 17: 2251–2264.

Zumbo BD; Hubley AM. A note on misconceptions concerning prospective and retrospective power. Statistician. 1998; 47: 385–388.