Tipping Point Analysis for Survival Endpoints
Assess Clinical Plausibility of Imputation Results
Average Kaplan-Meier Curves Across Multiple Imputed Datasets
Fit parametric model for selected subjects
Model-free imputation via deterministic sampling
Model-based imputation from parametric distributions
Model-free imputation via random sampling
Plot Pooled Kaplan–Meier Curves from Model-Free Tipping Point Analysis
Plot Model-Free Tipping Point Results
Plot Pooled Kaplan–Meier Curves from Tipping Point Analysis
Pooling results using Rubin's Rule
Print method for plausibility assessment
Summarize Tipping Point Results (ARD Format)
Tipping Point Analysis (Model-Based)
Tipping Point Analysis (Model-Free)
tipse: Tipping Point Analysis for Survival Endpoints
Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.