hrIPW: 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.

Getting started

Package details

AuthorDavid Hajage [aut, cre]
MaintainerDavid Hajage <[email protected]>
LicenseGPL (>= 2)
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hrIPW")

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hrIPW documentation built on May 2, 2019, 8:31 a.m.