Table of Contents
Chapter 2 Hypotheses: The Why of Your Research
HOW PRECISE MUST A HYPOTHESIS BE?
ARE EXPERIMENTS REALLY NECESSARY?
Chapter 4 Data Quality Assessment
DESIRABLE AND NOT-SO-DESIRABLE ESTIMATORS
Chapter 6 Testing Hypotheses: Choosing a Test Statistic
TIME-TO-EVENT DATA (SURVIVAL ANALYSIS)
COMPARING THE MEANS OF TWO SETS OF MEASUREMENTS
DO NOT LET YOUR SOFTWARE DO YOUR THINKING FOR YOU
COMPARING THE MEANS OF K SAMPLES
HIGHER-ORDER EXPERIMENTAL DESIGNS
Chapter 7 Strengths and Limitations of Some Miscellaneous Statistical Procedures
Chapter 8 Reporting Your Results
RECOGNIZING AND REPORTING BIASES
Chapter 9 Interpreting Reports
INTERPRETING COMPUTER PRINTOUTS
FIVE RULES FOR AVOIDING BAD GRAPHICS
ONE RULE FOR CORRECT USAGE OF THREE-DIMENSIONAL GRAPHICS
THE MISUNDERSTOOD AND MALIGNED PIE CHART
TWO RULES FOR EFFECTIVE DISPLAY OF SUBGROUP INFORMATION
TWO RULES FOR TEXT ELEMENTS IN GRAPHICS
CHOOSING EFFECTIVE DISPLAY ELEMENTS
Chapter 11 Univariate Regression
Chapter 12 Alternate Methods of Regression
LINEAR VERSUS NONLINEAR REGRESSION
LEAST-ABSOLUTE-DEVIATION REGRESSION
Chapter 13 Multivariable Regression
Chapter 14 Modeling Counts and Correlated Data
FIXED- AND RANDOM-EFFECTS MODELS
POPULATION-AVERAGED GENERALIZED ESTIMATING EQUATION MODELS (GEEs)
SUBJECT-SPECIFIC OR POPULATION-AVERAGED?
QUICK REFERENCE FOR POPULAR PANEL ESTIMATORS