PSsurvival: Propensity Score Methods for Survival Analysis
Implements propensity score weighting methods for estimating
counterfactual survival functions and marginal hazard ratios in
observational studies with time-to-event outcomes. Supports binary and
multiple treatment groups with average treatment effect on the combined
full population (ATE), average treatment effect on the treated or target
group (ATT), and overlap weighting estimands. Includes symmetric (Crump)
and asymmetric (Sturmer) trimming options for extreme propensity scores.
Variance estimation via analytical M-estimation or bootstrap.
Methods based on Cheng et al. (2022) <doi:10.1093/aje/kwac043> and Li &
Li (2019) <doi:10.1214/19-AOAS1282>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
survival, stats, utils |
| Suggests: |
nnet, ggplot2, parallel, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2025-12-09 |
| DOI: |
10.32614/CRAN.package.PSsurvival (may not be active yet) |
| 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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