Inverse Probability Weighted Cox Model with Corrected Sandwich Variance

An implementation of corrected sandwich variance (CSV) estimation method for making inference of marginal hazard ratios (HR) in inverse probability weighted (IPW) Cox model without and with clustered data, proposed by Shu, Young, Toh, and Wang (2019) in their paper under revision for Biometrics. Both conventional inverse probability weights and stabilized weights are implemented. Logistic regression model is assumed for propensity score model.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ipwCoxCSV")

1.0 by Di Shu, 11 days ago


Browse source code at https://github.com/cran/ipwCoxCSV


Authors: Di Shu <[email protected]> , Rui Wang <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports survival, stats


See at CRAN