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.
- Ajmal Oodally (cre, aut), Craig Wang (aut), Zheng Li (ctb)
- 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 Ad hoc Approaches. arXiv preprint arXiv:2506.19988v3.