O'Reilly logo

Logistic Regression Using SAS, 2nd Edition by Paul D. Allison

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

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 ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required