PERSUADE: Parametric Survival Model Selection for Decision-Analytic Models (original) (raw)
Provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with 'rmarkdown'. The package builds on existing tools including 'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and 'flexsurvcure' for estimating cure models.
| Version: | 0.1.2 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table, flexsurv, flexsurvcure, ggplot2, muhaz, rmarkdown, rms, sft, stats, survival, survminer |
| Suggests: | kableExtra, knitr, testthat (≥ 3.1.2), utils |
| Published: | 2025-10-09 |
| DOI: | 10.32614/CRAN.package.PERSUADE |
| Author: | Bram Ramaekers |
| Maintainer: | Bram Ramaekers <bram.ramaekers at mumc.nl> |
| BugReports: | https://github.com/Bram-R/PERSUADE/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Bram-R/PERSUADE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | PERSUADE results |
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