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PSsurvival
View on CRAN: Click
here
Download and install PSsurvival package within the R console
Install from CRAN:
install.packages("PSsurvival")
Install from Github:
library("remotes")
install_github("cran/PSsurvival") Install by package version:
library("remotes")
install_version("PSsurvival", "0.2.0") Attach the package and use:
library("PSsurvival")
Maintained by
Chengxin Yang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-09
Latest Update: 2025-12-09
Description:
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>.
How to cite:
Chengxin Yang (2025). PSsurvival: Propensity Score Methods for Survival Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/PSsurvival. Accessed 09 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-12-09 08:40)
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