pammtools: Piece-wise exponential Additive Mixed Modeling tools

Understand

Piecewise exponential additive mixed models (PAMMs) provide a flexible framework for analyzing censored and truncated time-to-event data, bridging classical hazard-based modeling with modern regression techniques.

• They enable the estimation of complex covariate effects, including non-linear and time-varying (cumulative) effects, and naturally incorporate time-varying covariates.
• Moreover, PAMMs are applicable across a wide range of survival settings, including non-proportional hazards, recurrent events, competing risks, and multi-state analyses.
• This article introduces the pammtools package, which facilitates data transformation, estimation, and interpretation for PAMMs within a unified workflow.