Regression can be used on categorical responses to estimate probabilities and to classify.

Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.

The term "logistic regression" encompasses logit modeling, probit modeling, and tobit modeling and the significance tests of their estimates. A total of 52 articles were identified as using logistic ...

With many nuisance parameters to eliminate and missing covariates, many investigators exclude any subject with missing covariates and then use conditional logistic regression, often called a ...

Example 39.9: Conditional Logistic Regression for Matched Pairs Data In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of ...