ADTreatSel | R Documentation |
This function performs a simulation-based evaluation of operating characteristics for adaptive trials with data-driven treatment selection. A multi-arm Phase III clinical trial with several doses or regimens of an experimental treatment versus control and two interim analyses is assumed. The first interim analysis supports early stopping for futility and the second interim analysis enables adaptive treatment selection to identify the best performing treatment. For examples of the function call, see ADTreatSelExample1, ADTreatSelExample2 or ADTreatSelExample3.
ADTreatSel(parameters)
parameters |
List of the trial design and other parameters. The required elements are defined below:
|
The function returns an object of class ‘ADTreatSelResults’. 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.
ADTreatSelApp
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