BayesOrdDesign
Bayesian Group Sequential Design for Ordinal Data
The proposed group-sequential trial design is based on Bayesian methods for ordinal endpoints, including three methods, the proportional-odds-model (PO)-based, non-proportional-odds-model (NPO)-based, and PO/NPO switch-model-based designs, which makes our proposed methods generic to be able to deal with various scenarios. Richard J. Barker, William A. Link (2013) doi:10.1080/00031305.2013.791644. Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) doi:10.1111/biom.12842. Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) doi:10.48550/arXiv.2108.06568.
- Version0.1.2
- R version≥ 3.3.0
- LicenseGPL-2
- Needs compilation?No
- Richard J. Barker, William A. Link (2013)
- Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018)
- Chengxue Zhong, Haitao Pan, Hongyu Miao (2021)
- Last release11/14/2022
Team
Chengxue Zhong
Haitao Pan
Show author detailsRolesAuthorHongyu Miao
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- Imports10 packages
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