ClustRandApp

<p>This function creates a web application with a Shiny-based graphical user interface to facilitate the process of designing a two-arm cluster-randomized trial (treatment and control arms). The application supports the same functionality as the <code>ClustRand</code> function. For an example of the function call, see ClustRandExample1.</p>

Efficient simulation-based power and sample size calculations are supported for a
broad class of late-stage clinical trials. The following modules are included in
the package:
Adaptive designs with data-driven sample size or event count re-estimation,
Adaptive designs with data-driven treatment selection,
Adaptive designs with data-driven population selection,
Optimal selection of a futility stopping rule,
Event prediction in event-driven trials,
Adaptive trials with response-adaptive randomization (experimental module),
Traditional trials with multiple objectives (experimental module).
Traditional trials with cluster-randomized designs (experimental module).

Alex Dmitrienko

MedianaDesigner

ClustRandApp: Graphical user interface to design a cluster-randomized trial

Description

Usage

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See Also