Term: Conditional Logistic Regression

Glossary Definition

Last Updated: 2008-09-09

Definition:

Conditional logistic regression (CLR) is primarily used in case-control or retrospective studies where a study participant with a particular condition or treatment (i.e., case) is matched to a study participant without that condition or treatment (i.e., control). The procedure is used to test the probability of having a particular condition or treatment while controlling for other covariates.

Related terms 

• Matching Cases and Controls
• Regression Analysis

References 

• Mandrekar JN, Mandrekar SJ. An introduction to matching and its application using SAS (Proceedings of the Twenty-ninth Annual SAS Users Group International Conference, 29, 208 'Statistics and Data Analysis'). 2004. [Abstract] (View)
• SAS Institute Inc. Logistic Regression: Examples using the SAS System. Cary, NC: SAS Institute Inc. 1995.(View)
• Stokes ME, Davis CS, Koch GG. Categorical Data Analysis using the SAS System. Cary, NC: SAS Institute Inc. 2000.(View)