In epidemiological studies, the outcomes are often binary, such as "disease" vs. "no disease" or "exposed" vs. "not exposed". Unlike linear regression, which predicts continuous outcomes, logistic regression is tailored for binary outcomes. It estimates the probability of the occurrence of an event by fitting data to a logistic curve.
