Flexible parametric proportional‐hazards and proportional‐odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects

Abstract Modelling of censored survival data is almost always done by Cox proportional‐hazards regression. However, use of parametric models for such data may have some advantages. For example, non‐proportional hazards, a potential difficulty with Cox models, may sometimes be handled in a simple way... View More