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PERSUADE  

Parametric Survival Model Selection for Decision-Analytic Models
View on CRAN: Click here


Download and install PERSUADE package within the R console
Install from CRAN:
install.packages("PERSUADE")

Install from Github:
library("remotes")
install_github("cran/PERSUADE")

Install by package version:
library("remotes")
install_version("PERSUADE", "0.1.2")



Attach the package and use:
library("PERSUADE")
Maintained by
Bram Ramaekers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-09
Latest Update: 2025-10-09
Description:
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.
How to cite:
Bram Ramaekers (2025). PERSUADE: Parametric Survival Model Selection for Decision-Analytic Models. R package version 0.1.2, https://cran.r-project.org/web/packages/PERSUADE. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for PERSUADE
Functions, R codes and Examples using the PERSUADE R package
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