MultAdj | R Documentation |
This function supports power calculations for a broad class of Phase III clinical trials with multiple objectives, including
Trials with a single source of multiplicity, i.e., trials with a single endpoint and several dose-control comparisons, or two-arm trials with several endpoints.
Trials with several sources of multiplicity, i.e., trials with several endpoints and several dose-placebo comparisons.
A fixed-sample design is assumed in this setting. Most commonly used multiplicity adjustments are supported for trials with a single source of multiplicity. In addition, global testing procedures can be applied in two-arm trials with several endpoints. Popular gatekeeping procedures are supported in the advanced multiplicity problems with several sources. For examples of the function call, see MultAdjExample1, MultAdjExample2 or MultAdjExample3.
MultAdj(parameters)
parameters |
List of the trial design and other parameters. The required elements are defined below:
|
The function returns an object of class ‘MultAdjResults’. This object is a list with the following components:
parameters |
List containing the user-specified parameters. |
sim_results |
Data frame containing the raw and adjusted p-values generated by the hypothesis tests for each simulation run. The first set of n columns correspond to the raw p-values for the n null hypotheses and the next set of n columns correspond to the adjusted p-values for the n null hypotheses. |
sim_summary |
List containing the power calculation results for the specified multiple testing procedure, global testing procedure or gatekeeping procedure. |
A detailed summary of the simulation results can be created using the GenerateReport
function.
MultAdjApp
, MultAdjExample1
, MultAdjExample2
, MultAdjExample3
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