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hrIPW (version 0.1.3)

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

Description

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) . 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.

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Version

Install

install.packages('hrIPW')

Monthly Downloads

15

Version

0.1.3

License

GPL (>= 2)

Maintainer

David Hajage

Last Published

April 13th, 2020

Functions in hrIPW (0.1.3)

hrIPW

Hazard ratio estimation using Cox model weighted by the propensity score
hrData

A simulated data set