Conditional logistic regression is an extension of logistic regression that allows one to account for stratification and matching. Its main field of application is observational studies and in …

Matched case-control data can be validly analyzed using conditional logistic regression which stratifies the analysis by groups defined by the unique combinations of the matching variables.

Learn what is Conditional Logistic Regression and its applications in data analysis and statistics.

Can we test change in outcome (H0: Pr(D=1/pre trt)=Pr(D=1/post trt)) using a 2 test based on this table? NO, because the test based on this table assumes the rows are INDEPENDENT …

This report is the conditional logistic regression analog of the analysis of variance table. It displays the results of chi-square tests used to test whether each of the individual terms in the …

Jun 30, 2025 · Discover how conditional logistic regression handles matched data in case-control studies. Learn the differences from standard logistic models, how to avoid overmatching, and …

Performing a logistic regression analysis on this would result in needing dummy variables for each pair! Doing so results in too many fixed effects to estimate with respect to the sample size and …

To address the hypothesis, we compare unconditional and conditional logistic regression models by precision in estimates and hypothesis testing using simulated matched case–control data.

SAS Proc Logistic will give us the conditional logistic regression estimate of the odds ratio, and an exact 95% confidence interval for the odds ratio using the conditional likelihood.

We begin this chapter with an illustration of the magnitude of the bias which arises from analysing matched data with the unconditional model.