eventTrack: Event Prediction for Time-to-Event Endpoints

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: 1.0.0
Depends: survival, muhaz, R (≥ 3.5.0)
Suggests: knitr, rmarkdown, rpact, fitdistrplus, gestate
Published: 2021-05-10
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

Downloads:

Reference manual: eventTrack.pdf
Vignettes: Event tracking: predict analysis timepoints for ongoing clinical trials
Package source: eventTrack_1.0.0.tar.gz
Windows binaries: r-devel: eventTrack_1.0.0.zip, r-release: eventTrack_1.0.0.zip, r-oldrel: eventTrack_1.0.0.zip
macOS binaries: r-release (arm64): eventTrack_1.0.0.tgz, r-release (x86_64): eventTrack_1.0.0.tgz, r-oldrel: eventTrack_1.0.0.tgz

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