PSsurvival: Propensity Score Methods for Survival Analysis

Implements propensity score weighting methods for estimating counterfactual survival functions, marginal hazard ratios, and weighted Kaplan-Meier and cumulative risk curves in observational studies with time-to-event outcomes. Supports binary and multiple treatment groups with inverse probability of treatment weighting (IPW), overlap weighting (OW), and average treatment effect on the treated (ATT). Includes symmetric trimming (Crump extension) for extreme propensity scores. Variance estimation via analytical M-estimation or bootstrap. Methods based on Li et al. (2018) <doi:10.1080/01621459.2016.1260466>, Li & Li (2019) <doi:10.1214/19-AOAS1282>, and Cheng et al. (2022) <doi:10.1093/aje/kwac043>.

Version:	0.2.0
Depends:	R (≥ 3.5.0)
Imports:	survival, stats, utils, ggplot2, cowplot
Suggests:	nnet, parallel, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-01-10
DOI:	10.32614/CRAN.package.PSsurvival
Author:	Chengxin Yang [aut, cre], Chao Cheng [aut], Fan Li [aut], Fan Li [aut]
Maintainer:	Chengxin Yang <chengxin.yang at duke.edu>
BugReports:	https://github.com/cxinyang/PSsurvival/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/cxinyang/PSsurvival
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	PSsurvival results

Documentation:

Reference manual:	PSsurvival.html , PSsurvival.pdf
Vignettes:	PSsurvival: Propensity Score Weighting for Survival Analysis (source, R code)

Downloads:

Package source:	PSsurvival_0.2.0.tar.gz
Windows binaries:	r-devel: PSsurvival_0.2.0.zip, r-release: PSsurvival_0.2.0.zip, r-oldrel: PSsurvival_0.2.0.zip
macOS binaries:	r-release (arm64): PSsurvival_0.2.0.tgz, r-oldrel (arm64): PSsurvival_0.2.0.tgz, r-release (x86_64): PSsurvival_0.2.0.tgz, r-oldrel (x86_64): PSsurvival_0.2.0.tgz
Old sources:	PSsurvival archive

Linking:

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