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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: | 1.0.3 |
| Depends: | survival, muhaz, R (≥ 3.5.0) |
| Suggests: | knitr, rmarkdown, rpact (≥ 3.3.1), fitdistrplus, gestate |
| Published: | 2023-08-08 |
| DOI: | 10.32614/CRAN.package.eventTrack |
| 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_1.0.3.tar.gz |
| Windows binaries: | r-devel: eventTrack_1.0.3.zip, r-release: eventTrack_1.0.3.zip, r-oldrel: eventTrack_1.0.3.zip |
| macOS binaries: | r-release (arm64): eventTrack_1.0.3.tgz, r-oldrel (arm64): eventTrack_1.0.3.tgz, r-release (x86_64): eventTrack_1.0.3.tgz, r-oldrel (x86_64): eventTrack_1.0.3.tgz |
| Old sources: | eventTrack archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.