ADPopSel | R Documentation |
This function performs a simulation-based evaluation of operating characteristics for adaptive trials with data-driven population selection. A two-arm Phase III clinical trial with two pre-defined patient populations (overall population and subpopulation of biomarker-positive patients) and two interim analyses is assumed. The first interim analysis supports early stopping for futility in the overall population and the second interim analysis identifies the most promising patient population or populations. For examples of the function call, see ADPopSelExample1, ADPopSelExample2 or ADPopSelExample3.
ADPopSel(parameters)
parameters |
List of the trial design and other parameters. The required elements are defined below:
|
The function returns an object of class ‘ADPopSelResults’. This object is a list with the following components:
parameters |
List containing the user-specified parameters. |
sim_results |
Data frame containing key descriptive statistics for each simulation run. |
sim_summary |
List containing the key operating characteristics of the adaptive design. |
A detailed summary of the simulation results can be created using the GenerateReport
function.
ADPopSelApp
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