Islam & Knowledge & Thought, Al Faruqi's Concept of Religion in Islamic

This book presents a broad range of statistical techniques to address emerging

needs in the field of repeated measures. It also provides a comprehensive

overview of extensions of generalized linear models for the bivariate

exponential family of distributions, which represent a new development in

analysing repeated measures data. The demand for statistical models for

correlated outcomes has grown rapidly recently, mainly due to presence of two

types of underlying associations: associations between outcomes, and

associations between explanatory variables and outcomes.

The book systematically addresses key problems arising in the modelling of

repeated measures data, bearing in mind those factors that play a major role

in estimating the underlying relationships between covariates and outcome

variables for correlated outcome data. In addition, it presents new approaches

to addressing current challenges in the field of repeated measures and models

based on conditional and joint probabilities. Markov models of first and

higher orders are used for conditional models in addition to conditional

probabilities as a function of covariates. Similarly, joint models are

developed using both marginal-conditional probabilities as well as joint

probabilities as a function of covariates.

In addition to generalized linear models for bivariate outcomes, it highlights

extended semi-parametric models for continuous failure time data and their

applications in order to include models for a broader range of outcome

variables that researchers encounter in various fields. The book further

discusses the problem of analysing repeated measures data for failure time in

the competing risk framework, which is now taking on an increasingly important

role in the field of survival analysis, reliability and actuarial science.

Details on how to perform the analyses are included in each chapter and

supplemented with newly developed R packages and functions along with SAS

codes and macro/IML. It is a valuable resource for researchers, graduate

students and other users of statistical techniques for analysing repeated

measures data.