Add support for population selection based on predictive/posterior probabilities in getSimulationEnrichmentMeans/Rates/Survival #32
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fpahlke
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May 27, 2024
…ecalculation rules to the setting of binary endpoints according to [Bokelmann et al. (2024)](https://doi.org/10.1186/s12874-024-02150-4) * The `getSimulationMultiArmMeans()`, `getSimulationMultiArmRates()`, and `getSimulationMultiArmSurvival()` functions now support an enhanced `selectArmsFunction` argument. Previously, only `effectVector` and `stage` were allowed as arguments. Now, users can optionally utilize additional arguments for more powerful custom function implementations, including `conditionalPower`, `conditionalCriticalValue`, `plannedSubjects/plannedEvents`, `allocationRatioPlanned`, `selectedArms`, `thetaH1` (for means and survival), `stDevH1` (for means), `overallEffects`, and for rates additionally: `piTreatmentsH1`, `piControlH1`, `overallRates`, and `overallRatesControl`. * Same as below for`getSimulationEnrichmentMeans()`, `getSimulationEnrichmentRates()`, and `getSimulationEnrichmentSurvival()`. Specifically, support for population selection with `selectPopulationsFunction` argument based on predictive/posterior probabilities added (see [#32](#32)) * Issues [#25](#25), [#35](#35), and [#36](#36) fixed * Minor improvements
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Feature implemented in branch dev/4.0.0 |
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Originally opened by xinzhn
I am wondering if it would be possible to add an additional option (e.g,
userDefined) for the argumenteffectMeasureingetSimulationEnrichmentMeans/Rates/Survival, to allow a user defined function based on effect measures other thaneffectEstimateandtestStatisticforselectPopulationsFunction. Examples for such alternatives are population-specific predictive probabilities and subgroup-specific posterior probabilities1. This might be implemented by providing additional arguments for the customized functionselectPopulationsFunctionto facilitate the calculation for both type of probabilities.Just a thought for consideration: it may be convenient to borrow some arguments from
calcSubjectsFunction(customized function for sample size re-calculation), but to provide for populations as well as subgroups. To be specific, we may needFootnotes
Brannath, W., Zuber, E., Branson, M., Bretz, F., Gallo, P., Posch, M., and Racine-Poon, A. (2009), “Confirmatory adaptive designs with Bayesian decision tools for a targeted therapy in oncology,” Statistics in Medicine, 28, 1445–1463. ↩
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