Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
Version: | 1.0.1 |
Depends: | survival, muhaz, R (≥ 3.5.0) |
Suggests: | knitr, rmarkdown, rpact, fitdistrplus, gestate |
Published: | 2021-09-03 |
Author: | Kaspar Rufibach |
Maintainer: | Kaspar Rufibach <kaspar.rufibach at roche.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | eventTrack results |
Reference manual: | eventTrack.pdf |
Vignettes: |
Event tracking: predict analysis timepoints for ongoing clinical trials |
Package source: | eventTrack_1.0.1.tar.gz |
Windows binaries: | r-devel: eventTrack_1.0.1.zip, r-release: eventTrack_1.0.1.zip, r-oldrel: eventTrack_1.0.1.zip |
macOS binaries: | r-release (arm64): eventTrack_1.0.1.tgz, r-oldrel (arm64): eventTrack_1.0.1.tgz, r-release (x86_64): eventTrack_1.0.1.tgz, r-oldrel (x86_64): eventTrack_1.0.1.tgz |
Old sources: | eventTrack archive |
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