bacistool: Bayesian Classification and Information Sharing (BaCIS) Tool for
the Design of Multi-Group Phase II Clinical Trials
Provides the design of multi-group phase
II clinical trials with binary outcomes using the hierarchical Bayesian
classification and information sharing (BaCIS) model. Subgroups are classified
into two clusters on the basis of their outcomes mimicking the hypothesis
testing framework. Subsequently, information sharing takes place within
subgroups in the same cluster, rather than across all subgroups. This method can
be applied to the design and analysis of multi-group clinical trials with binary
outcomes. Reference: Nan Chen and J. Jack Lee (2019) <doi:10.1002/bimj.201700275>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
rjags |
| Published: |
2020-06-05 |
| Author: |
Nan Chen and J. Jack Lee |
| Maintainer: |
J. Jack Lee <jjlee at mdanderson.org> |
| License: |
GNU General Public License (≥ 3) |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS (>= 4.3.0) |
| CRAN checks: |
bacistool results |
Documentation:
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