Advertisement

Analysis of Matched Data Using Logistic Regression

  • David G. Kleinbaum
  • Mitchel Klein
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Abstract

Our discussion of matching begins with a general description 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 control variables not involved in matching.

Keywords

Logistic Regression Matched Pair Estimate Odds Ratio Matching Variable Match Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaUSA

Personalised recommendations