Parametric Survival Model Selection for Decision-Analytic Models
Calculate Cumulative Hazard Estimates
Generate PDF Report for a PERSUADE Analysis
Copy Excel Template for Model Parameters
Calculate Smoothed Hazard Estimates
Main PERSUADE Function
Plot Extrapolated Cure Survival Models per Group
Cure Survival Model Overlay
Diagnostic Plot for Cure Survival Models
Diagnostic Plot for Parametric Survival Models
Diagnostic Plot for Spline Survival Models
Plot Extrapolated Hazard Functions (Cure Models)
Plot Extrapolated Hazard Functions (Parametric Models)
Plot Extrapolated Hazard Functions (Spline Models)
Hazard Plot with Model Overlays
Plot Kaplan-Meier Survival Curves (Base R)
Plot Kaplan-Meier Survival Curves (ggsurvplot)
Log-Log Survival Diagnostic Plot
Plot Extrapolated Parametric Survival Models per Group
Parametric Survival Model Overlay
Schoenfeld Residuals Plot
Smoothed Hazard Function Plot
Plot Extrapolated Spline Survival Models per Group
Spline Survival Model Overlay
Plot Extrapolated Annual Transition Probabilities (Cure Models)
Plot Annual Transition Probabilities for Cure Survival Models
Plot Extrapolated Annual Transition Probabilities (Parametric Models)
Plot Annual Transition Probabilities for Parametric Survival Models
Plot Extrapolated Annual Transition Probabilities (Spline Models)
Plot Annual Transition Probabilities for Spline Survival Models
Compute Summary Statistics for Numeric Variables
Prepare Excel-Ready Survival Model Output
Group Predictions by Survival Model
Compute Transition Probabilities for Survival Model Predictions
Predict from Survival Models
Fit Parametric Survival Models
Calculate Transition Probabilities
Plot Method for PERSUADE Objects
Print Method for PERSUADE Objects
Summary Method for PERSUADE Objects
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.