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

Understanding how logistic regression works is best explained by example. Suppose, as in the demo program, the goal is to predict the sex of a person who is 36 years old, lives in Oklahoma, makes ...

Understanding Logistic Regression Logistic regression is best explained by example. Suppose that instead of the Patient dataset you have a simpler dataset where the goal is to predict gender from x0 = ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

Many papers in hospitality and tourism research use logistic regression as the multivariate estimation strategy. When the results from these models are presented, only the logistic regression ...

Thomas R. Fears, Charles C. Brown, Logistic Regression Methods for Retrospective Case-Control Studies Using Complex Sampling Procedures, Biometrics, Vol. 42, No. 4 ...