Conditional Logistic Regression

Conditional logistic regression is a statistical method used to analyze situations where individuals are grouped, and comparisons are made within these groups. It helps determine how specific factors influence an outcome when each group has a matched set of cases and controls, like patients with a condition and similar individuals without it. By focusing on differences within groups, it controls for shared characteristics, providing more accurate insights about which factors truly impact the outcome. This method is often used in medical and epidemiological studies to understand risk factors while accounting for the matched study design.