Customer Reviews

Generalized Estimating Equations

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GEE is an extension of the Generalized Linear Models that handles the correlation structure found in panel data and longitudinal or repeated measures analysis. The idea goes back to a paper by Zeger and Liang in 1986 and is well cover in their 1994 book with Diggle and its most recent revision. However, over the years the statistical packages have implemented GEE and variations of it in many different ways. This important new book not only provides a detailed description of GEE for theoreticians and practitioners but it also presents comparisons of how the various software products implement it. The packages include GLIM, SAS STAT/GENMOD, S-PLUS, Stata and RTI's product SUDAAN (designed specifically for survey data).

This book is well written and comprehensive and will make a great reference book. It even provides a chapter on model diagnostics. Many examples are illustrated using the various software packages.

As repeated measures or longitudinal data is very common in clinical trials this work is very imprtant and the text is a great reference for biostatisticians conducting clinical trials for pharmaceutical or medical device companies and for those in the medical research field that do such trials for research funding agencies.

I am just starting to apply GEE and this book is a must for getting a clear conceptual grasp of the subject and practical hands on demonstrations of how to apply it.