2-Stage Preference Trial Design and Analysis

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. Finally, analysis functions are provided to test each effect using either summary data (i.e. means, variances) or raw study data .

preference: An R package for Clinical Trials using Preference Design

Author: Briana Cameron and Michael J. Kane
Contributors: Denise Esserman
License: LGPL-2

Install the package

if (!require(devtools)) install.packages("devtools", repos="https://cloud.r-project.org")
library(devtools)
install_github("kaneplusplus/preference")