2-Stage Clinical 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.


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

Build Status Appveyor Build status Coverage Status

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

News

preference 0.1.0

  • First version of the package including:
    • The design 2-stage clinical trials incorporating patient preference.
    • Power, effect size, and sample size calculations.

Reference manual

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install.packages("preference")

0.1.2 by Michael Kane, 3 months ago


https://github.com/kaneplusplus/preference


Report a bug at https://github.com/kaneplusplus/preference/issues


Browse source code at https://github.com/cran/preference


Authors: Briana Cameron [aut, cph], Denise Esserman [ctb], Michael Kane [cre, ctb]


Documentation:   PDF Manual  


LGPL-2 license


Suggests knitr, testthat, ggplot2


See at CRAN