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Tipping Point Analysis for Survival Endpoints

The R package tipse implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) https://arxiv.org/abs/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.

Package authors

• Ajmal Oodally (cre, aut), Craig Wang (aut), Zheng Li (ctb)

References

• Oodally, A., Wang, C., Li, Z. and Chakravartty, A., 2025. Tipping Point Sensitivity Analysis for Missing Data in Time-to-Event Endpoints: Model-Based and Model-Free Approaches. arXiv preprint arXiv:2506.19988.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.