hrIPW v0.1.3

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Hazard Ratio Estimation using Cox Model Weighted by the Estimated Propensity Score

Estimates the log hazard ratio associated with a binary exposure using a Cox PH model weighted by the propensity score. Propensity model is estimated using a simple logistic regression. Variance estimation takes into account the propensity score estimation step with the method proposed by Hajage et al. (2018) <doi:10.1002/bimj.201700330>. Both the average treatment effect on the overall (ATE) or the treated (ATT) population can be estimated. For the ATE estimation, both unstabilized and stabilized weights can be used.

Functions in hrIPW

Name Description
hrIPW Hazard ratio estimation using Cox model weighted by the propensity score
hrData A simulated data set
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License GPL (>= 2)
Encoding UTF-8
LazyData true
RoxygenNote 7.1.0
NeedsCompilation no
Packaged 2020-04-13 13:34:10 UTC; david
Repository CRAN
Date/Publication 2020-04-13 13:50:02 UTC
suggests boot , RISCA
depends R (>= 3.3)
imports survival
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