| 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 |
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