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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) doi:10.1093/aje/kwac043 and Li & Li (2019) doi:10.1214/19-AOAS1282

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.