Randomized clinical trials commonly follow participants for a time-to-event efficacy endpoint for a fixed period of time. Consequently, at the time when the last enrolled participant completes their follow-up, the number of observed endpoints is a random variable. Assuming data collected through an interim timepoint, simulation-based estimation and inferential procedures in the standard right-censored failure time analysis framework are conducted for the distribution of the number of endpoints–in total as well as by treatment arm–at the end of the follow-up period. The future (i.e., yet unobserved) enrollment, endpoint, and dropout times are generated according to mechanisms specified in the simTrial() function in the 'seqDesign' package. A Bayesian model for the endpoint rate, offering the option to specify a robust mixture prior distribution, is used for generating future data (see the vignette for details).
Version: | 0.2 |
Imports: | graphics, stats, utils |
Suggests: | knitr, rmarkdown |
Published: | 2017-11-22 |
Author: | Yingying Zhuang and Michal Juraska, with contributions from Doug Grove, Peter B. Gilbert, Alexander R. Luedtke, Sanne Roels, and An Vandebosch |
Maintainer: | Michal Juraska <mjuraska at fredhutch.org> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | futility results |
Reference manual: | futility.pdf |
Vignettes: |
Bayesian Model for Incidence Rate |
Package source: | futility_0.2.tar.gz |
Windows binaries: | r-devel: futility_0.2.zip, r-release: futility_0.2.zip, r-oldrel: futility_0.2.zip |
OS X binaries: | r-release: futility_0.2.tgz, r-oldrel: futility_0.2.tgz |
Old sources: | futility archive |
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