# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PSsurvival" in publications use:' type: software license: GPL-2.0-or-later title: 'PSsurvival: Propensity Score Methods for Survival Analysis' version: 0.2.0 doi: 10.32614/CRAN.package.PSsurvival abstract: 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) , Li & Li (2019) , and Cheng et al. (2022) . authors: - family-names: Yang given-names: Chengxin email: chengxin.yang@duke.edu - family-names: Cheng given-names: Chao email: chaoc@wustl.edu - family-names: Li given-names: Fan email: fl35@duke.edu - family-names: Li given-names: Fan email: fan.f.li@yale.edu repository: https://cxinyang.r-universe.dev repository-code: https://github.com/cxinyang/PSsurvival commit: ea90919e6113048ab21b8aa01ef28a6b5216d068 url: https://github.com/cxinyang/PSsurvival date-released: '2026-01-09' contact: - family-names: Yang given-names: Chengxin email: chengxin.yang@duke.edu