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tipse (version 1.2)

Tipping Point Analysis for Survival Endpoints

Description

Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) . Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.

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Version

Install

install.packages('tipse')

Version

1.2

License

GPL (>= 3)

Maintainer

Ajmal Oodally

Last Published

January 16th, 2026

Functions in tipse (1.2)

impute_model

Model-based imputation from parametric distributions
plot.tipse

Plot Pooled Kaplan–Meier Curves from Tipping Point Analysis
assess_plausibility

Assess Clinical Plausibility of Imputation Results
tipping_point_model_free

Tipping Point Analysis (Model-Free)
tipping_point_model_based

Tipping Point Analysis (Model-Based)
summary.tipse

Summarize Tipping Point Results (ARD Format)
plot_km

Plot Pooled Kaplan–Meier Curves from Model-Free Tipping Point Analysis
tipse-package

tipse: Tipping Point Analysis for Survival Endpoints
extenet

Patient level data from dummy trial
impute_random

Model-free imputation via random sampling
fit_model

Fit parametric model for selected subjects
codebreak200

Patient level data from dummy trial
pool_results

Pooling results using Rubin's Rule
impute_deterministic

Model-free imputation via deterministic sampling
plot_tp

Plot Model-Free Tipping Point Results
average_km

Average Kaplan-Meier Curves Across Multiple Imputed Datasets
print.plausibility_assessment

Print method for plausibility assessment