Longitudinal data is often collected in clinical trials to examine the effect of treatment on the
disease process over time. This paper reviews and summarizes much of the methodological …

A new edition of the definitive guide to logistic regression modeling for health science and
other applications This thoroughly expanded Third Edition provides an easily accessible …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Although powerful and flexible, the method of generalized linear models (GLM) is limited in
its ability to accurately deal with longitudinal and clustered data. Developed specifically to …

The generalized estimating equation (GEE) approach of Zeger and Liang facilitates analysis
of data collected in longitudinal, nested, or repeated measures designs. GEEs use the …

With contributions from some of the most prominent researchers in the field, this carefully
edited collection provides a clear, comprehensive, and unified overview of recent …

I have endeavored to provide a comprehensive introduction to a wide-riety of statistical
methods for the analysis of repeated measurements. I envision this book primarily as a …

In this paper, we propose an alternative covariance estimator to the robust covariance
estimator of generalized estimating equations (GEE). Hypothesis tests using the robust …

Thisbook, likemanyotherbooks, wasdeliveredundertremendousinspiration and
encouragement from my teachers, research collaborators, and students. My interest in …

The sandwich estimator in generalized estimating equations (GEE) approach
underestimates the true variance in small samples and consequently results in inflated type I …