This is the method used for running the analysis. There are several options available for different types of data. Inputs: cAnalysis - The class( cAnalysis ) determines the specific version of RunAnalysis that is called. It contains the details about the analysis such as the priors, MAV, TV, decsiion cutoff boundaries. lDataAna - The data that is used int he analysis. Typically contains vISA (the ISA for the patient), vTrt (treatment for each patient), vOut (the outcome for each patient)Return: Each Analysis must return a list with at least the following list( nGo = nGo, nNoGo= nNoGo, nPause = nPause) The list is a list of indicator that only one of which = 1, the others are 0 For example, if you did a Go/NoGo with a CI see the results of MakeDecisionBasedOnCI() If the analysis return more info that is fine.
RunAnalysis( cAnalysis, lDataAna, nISAAnalysisIndx, bIsFinalISAAnalysis, cRandomizer )
| cAnalysis | The class( cAnalysis ) determines the specific version of RunAnalysis that is called. It contains the details about the analysis such as the priors, MAV, TV, decsiion cutoff boundaries. |
|---|---|
| lDataAna | The data that is used int he analysis. Typically contains vISA (the ISA for the patient), vTrt (treatment for each patient), vOut (the outcome for each patient) |
| nISAAnalysisIndx | index of the analysis used for changing boundaries) |
| cRandomizer | The randomizer, mainly used for cases with covariates. For most cases without covariates, simply add cRandomizer = cRandomizer to the return list. |
| bIsFinaISAAnalysis | TRUE or FALSE, often we change the value of the cutoff at the final analysis for an ISA |
Each Analysis must return a list with at least the following list( nGo = nGo, nNoGo= nNoGo, nPause = nPause, cRandomizer = cRandomizer ). The list is a list of indicator that only one of which = 1, the others are 0 For example, if you did a Go/NoGo with a CI see the results of MakeDecisionBasedOnCI() If the analysis return more info that is fine.