Logistic regression is a method used to analyze the relationship between a binary or categorical outcome and multiple influencing factors. The article explains how to select variables, apply the model, and evaluate it. It also introduces different types of logistic regression models and provides an example using SAS codes for better understanding. The goal is to help readers improve their data analysis skills and apply logistic regression correctly in their research and work.