R package pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis. The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi:10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2018) <doi:10.1093/biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
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References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Greven, Sonja; Scheipl, Fabian: Comments on: “Inference and computation with generalized additive models and their extensions” (2020)
- Bender, Andreas; Groll, Andreas; Scheipl, Fabian: A generalized additive model approach to time-to-event analysis (2018)