How to adjust for confounding variables, interpret Adjusted Odds Ratios (aOR) with 95% Confidence Intervals, and evaluate Hosmer-Lemeshow goodness-of-fit tests in R. In observational epidemiology and health sciences research, outcomes are frequently binary — such as disease status (present vs absent), treatment success (yes vs no), or 30-day readmission.
R Programming
July 5, 2026
Understanding Multivariable Logistic Regression in Health Data Analysis
Published by: Benson Nyakundi Onyiego