Introduction Our discussion of matching begins with a general descrip-
tion of the matching procedure and the basic features of
matching. We then discuss how to use stratification to
carry out a matched analysis. Our primary focus is on
case-control studies. We then introduce the logistic model
for matched data and describe the corresponding odds
ratio formula. We illustrate the use of logistic regression
with an application that involves matching as well as con-
trol variables not involved in matching.
We also discuss how to assess interaction involving the
matching variables and whether or not matching strata
should be pooled prior to analysis. Finally, we describe
the logistic model for analyzing matched follow-up data.Abbreviated
Outline
The outline below gives the user a preview of this chapter.
A detailed outline for review purposes follows the presen-
tation.I. Overview (page 392)
II. Basic features of matching (pages 392–394)
III. Matched analyses using stratification (pages
394–397)
IV. The logistic model for matched data
(pages 397–400)
V. An application (pages 400–403)
VI. Assessing interaction involving matching
variables (pages 404–406)
VII. Pooling matching strata (pages 407–409)
VIII. Analysis of matched follow-up data (pages
409–413)
IX. Summary (page 414)390 11. Analysis of Matched Data Using Logistic Regression