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.


Reference manual

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1.0 by Di Shu, 8 months ago

Browse source code at

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

Documentation:   PDF Manual  

GPL (>= 2) license

Imports survival, stats

See at CRAN