Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

Logistic Regression Chapters

1. Introduction


2. Important Special Cases

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3 11. Analysis of Matched Data

12. Polytomous Logistic
    Regression


13. Ordinal Logistic Regression

The reader may wish to review the detailed

summary and to try the practice exercises and

the test that follow.

Up to this point we have considered dichoto-

mous outcomes only. In the next two chapters,

the standard logistic model is extended to han-

dle outcomes with three or more categories.

IX. SUMMARY

This presentation:
 Basic features of matching
 Logistic model for matched
data
 Illustration using 2-to-1
matching
 Interaction involving matching
variables
 Pooling exchangeable matched
sets
 Matched follow-up data

This presentation is now complete. In sum-

mary, we have described the basic features of

matching, presented a logistic regression

model for the analysis of matched data, and

have illustrated the model using an example

from a 2-to-1 matched case-control study. We

have also discussed how to assess interaction

of the matching variables with exposure, the

issue of pooling exchangeable matched sets,

and how to analyze matched follow-up data.

414 11. Analysis of Matched Data Using Logistic Regression