NEWS.md

In PSsurvival: Propensity Score Methods for Survival Analysis

PSsurvival 0.1.0

• Initial CRAN release

• Documentation improvements for CRAN resubmission:

• Added @return tags to print methods
• Removed examples from internal functions
• Updated examples to use \donttest{} with executable code

• Enhanced output documentation for all exported functions

• Implements propensity score weighting methods for estimating counterfactual survival functions and marginal hazard ratios in observational studies with time-to-event outcomes

• Main functions:

• surveff(): Estimates counterfactual survival curves and survival differences over time

• marCoxph(): Estimates marginal hazard ratios via weighted Cox regression

• Supports binary and multiple (>2) treatment groups

• Weighting methods:

• Inverse probability weighting (ATE)
• Treated/target group weighting (ATT)

• Overlap weighting

• Propensity score trimming:

• Symmetric trimming (Crump et al.)

• Asymmetric trimming (Sturmer et al.)

• Censoring adjustment methods:

• Weibull accelerated failure time models

• Cox proportional hazards models

• Variance estimation:

• Analytical M-estimation (binary treatment with Weibull censoring)

• Bootstrap (all configurations, with full or stratified resampling)

• Comprehensive documentation including vignette with examples

• Based on methods from Cheng et al. (2022) and Li & Li (2019)

PSsurvival documentation built on Dec. 9, 2025, 9:07 a.m.