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:
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