BayesPPDSurv
Bayesian Power Prior Design for Survival Data
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in doi:10.48550/arXiv.2404.05118. The Bayesian clinical trial design methodology is described in Chen et al. (2011) doi:10.1111/j.1541-0420.2011.01561.x, and Psioda and Ibrahim (2019) doi:10.1093/biostatistics/kxy009. The proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) doi:10.1007/978-1-4757-3447-8.
- Version1.0.3
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Chen et al. (2011)
- Psioda and Ibrahim (2019)
- Ibrahim et al. (2001)
- Last release04/09/2024
Documentation
Team
Yueqi Shen
Matthew A. Psioda
Show author detailsRolesAuthorJoseph G. Ibrahim
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 215 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 2,938 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 11, 2024 with 48 downloads.
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Dependencies
- Imports3 packages
- Suggests3 packages
- Linking To3 packages