{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pammtools-piece-wise-exponential-additive","title":"pammtools: Piece-wise exponential Additive Mixed Modeling tools","arxiv_id":"1806.01042","date":"2018-06-04","proceeding":null,"authors":["Johannes Piller","Fabian Scheipl","Philipp Kopper","Andreas Bender"],"abstract":"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. The package provides a comprehensive, user-friendly, and extensible interface covering the full modeling pipeline, from data transformation to estimation and visualization. In addition, simulation-based inference allows the calculation of confidence intervals for arbitrary quantities of interest such as covariate dependent hazards, survival probabilities, restricted mean survival times and transition probabilities.","url_abs":"http://arxiv.org/abs/1806.01042v1","url_pdf":"http://arxiv.org/pdf/1806.01042v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"pammtools-piece-wise-exponential-additive","repo_url":"https://github.com/cran/pammtools","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}