Logistic regression is highly versatile and applicable across a wide array of fields and disciplines due to several key advantages, the most important being its ease of use and explainability.

Logistic regression is often used instead of Cox regression ... Prentice weights and robust SEs were used for the Cox model in the full case-cohort to account for the sampling process.

Logistic regression analysis ... confounder into quintiles to calculate the Mantel–Haenszel risk ratio. Log–binomial regression, Poisson regression with robust standard errors, and the ...