BayesianPlatformDesignTimeTrend

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>.

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GNU make is a SystemRequirements.

  installed size is 87.7Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.8Mb
    libs  83.5Mb

GNU make is a SystemRequirements.

  installed size is 89.1Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.8Mb
    libs  84.9Mb

GNU make is a SystemRequirements.

  installed size is  7.4Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.9Mb
    libs   3.2Mb

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  installed size is 87.7Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.8Mb
    libs  83.5Mb

  installed size is 89.1Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.8Mb
    libs  84.9Mb

  installed size is  7.4Mb
  sub-directories of 1Mb or more:
    data   1.3Mb
    help   1.9Mb
    libs   3.2Mb

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