Logistic Regression Using SAS, 2nd Edition

Chapter 8

Logit Analysis of Longitudinal and Other Clustered Data

8.1   Introduction

8.2   Longitudinal Example

8.3   Robust Standard Errors

8.4   GEE Estimation with PROC GENMOD

8.5   Mixed Models with GLIMMIX

8.6   Fixed-Effects with Conditional Logistic Regression

8.7   Postdoctoral Training Example

8.8   Matching

8.9   Comparison of Methods

8.10 A Hybrid Method

 

8.1 Introduction

In previous chapters, we assumed that all observations are independent—that is, the outcome for each observation is completely unrelated to the outcome for every other observation. While that assumption is quite appropriate for most data sets, there are many applications where the data can be grouped into natural or imposed clusters with observations in the same ...