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 is used for generating future data (see the vignette for details).
| Version: | 0.1 |
| Imports: | graphics, stats, utils |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-07-28 |
| Author: | Yingying Zhuang and Michal Juraska, with contributions from Doug Grove, Peter B. Gilbert, and Alexander R. Luedtke |
| 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_0.1.tar.gz |
| Windows binaries: | r-devel: futility_0.1.zip, r-release: futility_0.1.zip, r-oldrel: futility_0.1.zip |
| OS X El Capitan binaries: | r-release: futility_0.1.tgz |
| OS X Mavericks binaries: | r-oldrel: futility_0.1.tgz |
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