cmprskcoxmsm: Use IPW to Estimate Treatment Effect under Competing Risks

Uses inverse probability weighting methods to estimate treatment effect under marginal structure model for the cause-specific hazard of competing risk events. Estimates also the cumulative incidence function (i.e. risk) of the potential outcomes, and provides inference on risk difference and risk ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>; Hernan et al (2001)<doi:10.1198/016214501753168154>.

Version: 0.2.1
Imports: ggplot2, survival, stats, twang, graphics, sandwich
Suggests: knitr, rmarkdown
Published: 2021-09-04
Author: Yiran Zhang, Ronghui Xu
Maintainer: Yiran Zhang <yiz038 at health.ucsd.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: cmprskcoxmsm results

Documentation:

Reference manual: cmprskcoxmsm.pdf
Vignettes: Estimating the treatment effect in failure-time settings with competing events

Downloads:

Package source: cmprskcoxmsm_0.2.1.tar.gz
Windows binaries: r-devel: cmprskcoxmsm_0.2.1.zip, r-release: cmprskcoxmsm_0.2.1.zip, r-oldrel: cmprskcoxmsm_0.2.1.zip
macOS binaries: r-release (arm64): cmprskcoxmsm_0.2.1.tgz, r-release (x86_64): cmprskcoxmsm_0.2.1.tgz, r-oldrel: cmprskcoxmsm_0.2.1.tgz
Old sources: cmprskcoxmsm archive

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