# Power and Sample Size Calculations for Clinical Trials

## Documentation for package ‘MedianaDesigner’ version 0.13

- DESCRIPTION file

## Help Pages

MedianaDesigner-package | Efficient Simulation-Based Power and Sample Size Calculations for a Broad Class of Late-Stage Clinical Trials
ADPopSel | Simulation-based design of adaptive trials with data-driven population selection
ADPopSelApp | Graphical user interface to design an adaptive trial with data-driven population selection
ADPopSelC | Simulation-based design of adaptive trials with data-driven population selection
ADPopSelExample1 | Simulation-based design of an adaptive trial with population selection (normally distributed endpoint)
ADPopSelExample2 | Simulation-based design of an adaptive trial with population selection (binary endpoint)
ADPopSelExample3 | Simulation-based design of an adaptive trial with population selection (time-to-event endpoint)
ADPopSelReportDoc | Simulation report
ADPopSelSingleCore | Simulation-based design of adaptive trials with data-driven population selection
ADRand | Simulation-based design of adaptive trials with response-adaptive randomization
ADRandApp | Graphical user interface to design an adaptive trial with data-driven population selection
ADRandC | Simulation-based design of adaptive trials with response-adaptive randomization
ADRandExample | Simulation-based design of dose-finding Phase II trials with response-adaptive randomization (normally distributed endpoint)
ADRandReportDoc | Simulation report
ADRandSingleCore | Simulation-based design of adaptive trials with response-adaptive randomization
ADSSMod | Simulation-based design of adaptive trials with data-driven sample size or event count re-estimation
ADSSModApp | Graphical user interface to design an adaptive trial with data-driven sample size or event count re-estimation
ADSSModC | Simulation-based design of adaptive trials with data-driven sample size or event count re-estimation
ADSSModExample1 | Simulation-based design of an adaptive trial with sample size re-estimation (normally distributed endpoint)
ADSSModExample2 | Simulation-based design of an adaptive trial with sample size re-estimation (binary endpoint)
ADSSModExample3 | Simulation-based design of an adaptive trial with event count re-estimation (time-to-event endpoint)
ADSSModReportDoc | Simulation report
ADSSModSingleCore | Simulation-based design of adaptive trials with data-driven sample size or event count re-estimation
ADTreatSel | Simulation-based design of adaptive trials with data-driven treatment selection
ADTreatSelApp | Graphical user interface to design an adaptive trial with data-driven treatment selection
ADTreatSelC | Simulation-based design of adaptive trials with data-driven treatment selection
ADTreatSelExample1 | Simulation-based design of an adaptive trial with treatment selection (normally distributed endpoint)
ADTreatSelExample2 | Simulation-based design of an adaptive trial with treatment selection (binary endpoint)
ADTreatSelExample3 | Simulation-based design of an adaptive trial with treatment selection (time-to-event endpoint)
ADTreatSelReportDoc | Simulation report
ADTreatSelSingleCore | Simulation-based design of adaptive trials with data-driven treatment selection
ClustRand | Simulation-based design of cluster-randomized trials
ClustRandApp | Graphical user interface to design a cluster-randomized trial
ClustRandC | Simulation-based design of cluster-randomized trials
ClustRandExample1 | Simulation-based design of a cluster-randomized trial (normally distributed endpoint)
ClustRandExample2 | Simulation-based design of a cluster-randomized trial (binary endpoint)
ClustRandGEEC | Simulation-based design of cluster-randomized trials
ClustRandGLMEMR | Simulation-based design of cluster-randomized trials
ClustRandReportDoc | Simulation report
ClustRandSingleCore | Simulation-based design of cluster-randomized trials
ComputeDRFunctionParameters | Simulation-based design of adaptive trials with response-adaptive randomization
DRFunction | Simulation-based design of adaptive trials with response-adaptive randomization
EventPred | Simulation-based event prediction in trials with an event-driven design
EventPredApp | Graphical user interface for event prediction in trials with an event-driven design
EventPredData | Example data set for EventPred
EventPredEventCount | Simulation-based event prediction in trials with an event-driven design
EventPredExample | Simulation-based event prediction in trials with an event-driven design (time-to- event endpoint)
EventPredPriorDistribution | Calculation of the parameters of prior gamma distributions
EventPredR | Simulation-based event prediction in trials with an event-driven design
EventPredReportDoc | Simulation report
EventPredRSingleCore | Simulation-based event prediction in trials with an event-driven design
ExportRandomClusterSize | Simulation-based design of cluster-randomized trials
ExportTradMultAdj | Simulation-based design of traditional trials with multiple objectives
FutRule | Simulation-based selection of an optimal futility stopping rule at an interim analysis
FutRuleApp | Graphical user interface for an optimal selection of a futility stopping rule at an interim analysis
FutRuleC | Simulation-based selection of an optimal futility stopping rule at an interim analysis
FutRuleExample1 | Simulation-based selection of an optimal futility stopping rule (normally distributed endpoint)
FutRuleExample2 | Simulation-based selection of an optimal futility stopping rule (binary endpoint)
FutRuleExample3 | Simulation-based selection of an optimal futility stopping rule (time-to-event endpoint)
FutRuleReportDoc | Simulation report
FutRuleSingleCore | Simulation-based selection of an optimal futility stopping rule at an interim analysis
GenerateReport | Simulation report
MedianaDesigner | Efficient Simulation-Based Power and Sample Size Calculations for a Broad Class of Late-Stage Clinical Trials
MultAdj | Simulation-based design of traditional trials with multiple objectives
MultAdj1SingleCore | Simulation-based design of traditional trials with multiple objectives
MultAdjApp | Graphical user interface for power calculations in traditional trials with multiple objectives
MultAdjC | Simulation-based design of traditional trials with multiple objectives
MultAdjExample1 | Simulation-based power calculations in Phase III trials with multiple dose-placebo comparisons
MultAdjExample2 | Simulation-based power calculations in Phase III trials with multiple endpoints
MultAdjExample3 | Simulation-based power calculations in Phase III trials with multiple endpoints and multiple dose-placebo comparisons
MultAdjReportDoc | Simulation report
print.ADPopSelResults | Simulation report
print.ADRandResults | Simulation report
print.ADSSModResults | Simulation report
print.ADTreatSelResults | Simulation report
print.ClustRandResults | Simulation report
print.EventPredResults | Simulation report
print.FutRuleResults | Simulation report
print.MultAdjResults | Simulation report
ReportDoc | Simulation report