| Name : R-BayesianPlatformDesignTimeTrend
| |
| Version : 1.2.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.4.1
| Date : 2024-09-30 20:46:41
|
| Group : Development/Libraries/Other
| Source RPM : R-BayesianPlatformDesignTimeTrend-1.2.3-lp155.4.1.src.rpm
|
| Size : 7.23 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Simulate and Analyse Bayesian Platform Trial with Time Trend
|
Description :
Simulating the sequential multi-arm multi-stage or platform trial with
Bayesian approach using the \'rstan\' package, which provides the R
interface for the Stan. This package supports fixed ratio and Bayesian
adaptive randomization approaches for randomization. Additionally, it
allows for the study of time trend problems in platform trials. There
are demos available for a multi-arm multi-stage trial with two
different null scenarios, as well as for Bayesian trial cutoff
screening. The Bayesian adaptive randomisation approaches are described
in: Trippa et al. (2012) < doi:10.1200/JCO.2011.39.8420> and Wathen et
al. (2017) < doi:10.1177/1740774517692302>. The randomisation algorithm
is described in: Zhao W < doi:10.1016/j.cct.2015.06.008>. The analysis
methods of time trend effect in platform trial are described in:
Saville et al. (2022) < doi:10.1177/17407745221112013> and Bofill Roig
et al. (2022) < doi:10.1186/s12874-022-01683-w>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
