Logistic Regression

Online Workshops

• Logistic Regression for Binary, Ordinal, and Multinomial Outcomes

Free Videos and Audios

• Binary, Ordinal, and Multinomial Logistic Regression for Categorical Outcomes

• Understanding Probability, Odds, and Odds Ratios in Logistic Regression

• What Happened to R squared?: Assessing Model Fit for Logistic, Multilevel, and Other Models that use Maximum Likelihood Webinar

Articles

Get Started with Logistic Regression Concepts

• Introduction to Logistic Regression

• What is a Logit Function and Why Use Logistic Regression?

• Chi-square test vs. Logistic Regression: Is a fancier test better?

• Why use Odds Ratios in Logistic Regression

• Logistic Regression Analysis: Understanding Odds and Probability

• When Dependent Variables Are Not Fit for Linear Models, Now What?

Advanced Topics in Logistic Regression

• How to Interpret Odd Ratios when a Categorical Predictor Variable has More than Two Levels

• Generalized Linear Models in R, Part 1: Calculating Predicted Probability in Binary Logistic Regression

• Generalized Linear Models in R, Part 2: Understanding Model Fit in Logistic Regression Output

• SPSS Procedures for Logistic Regression

• Logistic Regression Models: Reversed odds ratios in SAS Proc Logistic–Use ‘Descending’

• Effect Size Statistics in Logistic Regression

• How to Get Standardized Regression Coefficients When Your Software Doesn’t Want To Give Them To You

• Measures of Predictive Models: Sensitivity and Specificity

• Explaining Logistic Regression Results to Non-Statistical Audiences

• Models for Repeated Measures Continuous, Categorical, and Count Data

Ordinal and Multinomial Logistic Regression

• Logistic Regression Models for Multinomial and Ordinal Variables

• Opposite Results in Ordinal Logistic Regression—Solving a Statistical Mystery

• Opposite Results in Ordinal Logistic Regression, Part 2

• Generalized Ordinal Logistic Regression for Ordered Response Variables