Logistic regression is particularly useful in epidemiology due to its ability to handle binary outcomes. Unlike linear regression, which predicts continuous outcomes, logistic regression predicts the probability of an event occurring. This makes it ideal for studying the occurrence of diseases, risk factors, and the impact of various exposures.
