This document covers logistic regression for binary health outcomes using BRFSS 2020 data. The outcome of interest is frequent mental distress (FMD), defined as 14 or more mentally unhealthy days in the past 30 days. Topics include why linear regression fails for binary outcomes, the logistic function and logit transformation, odds ratios, and simple vs. multiple logistic regression in R. An applied lab activity walks through model fitting, interpretation, and crude vs. adjusted odds ratio comparisons for predictors including sleep hours, exercise, smoking, income, and BMI.

Informe Modelo de regresión logística para analizar y predecir la rotación

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