Bayesian Group Sequential Design for Ordinal Data
Bayesian ordinal regression analysis Estimate the correlation coeffici...
Generate operating characteristics for Bayesian two-stage trial design...
Generate operating characteristics for Bayesian two-stage trial design...
Generate operating characteristics for Bayesian two-stage trial design...
Perform reversible-jump MCMC post-process to select appropriate model ...
Determine the sample size for Bayesian two-stage trial design of ordin...
Determine the sample size for Bayesian two-stage trial design of ordin...
Determine the sample size for Bayesian two-stage trial design for ordi...
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) <arXiv:2108.06568>.