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) . Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.


Reference manual

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install.packages("tipse")

2.1 by Ajmal Oodally, 2 months ago


https://github.com/openpharma/tipse


Browse source code at https://github.com/cran/tipse


Authors: Ajmal Oodally [cre, aut] (ORCID: , Craig Wang [aut] , Zheng Li [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports MASS, ggplot2, survival, dplyr, stats, utils, knitr, purrr, rmarkdown

Suggests testthat


See at CRAN