Denise Esserman, PhD

R Shiny App for finding the locally optimal and maximin cluster randomized trials assessing treatment effect modification

Faculty: Fan Li, PhD; Denise Esserman, PhD

Download: HTE-MMD-app package

Platform: R Shiny

Reference: doi.org (HTE-MMD-app)

Implements the sample size methods for hierarchical 2x2 factorial trials under two choices of effect estimands and a series of hypothesis tests proposed in "Sample size calculation in hierarchical 2x2 factorial trials with unequal cluster sizes" (under review), and provides the table and plot generators for the sample size estimations.

Faculty: Denise Esserman, PhD; Fan Li, PhD

Download: Cran R / H2x2Factorial Package

Platform: R

Design and analyze two-stage randomized trials with a continuous outcome measure. The package contains functions to compute the required sample size needed to detect a given preference, treatment, and selection effect; alternatively, the package contains functions that can report the study power given a fixed sample size.

Faculty: Denise Esserman, PhD; Fan Li, PhD

Download: Cran R / preference Package

Platform: R

Reference: doi.org (preference)