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.
Version: |
0.1.3 |
Depends: |
R (≥ 3.3) |
Imports: |
survival |
Suggests: |
RISCA, boot |
Published: |
2020-04-13 |
Author: |
David Hajage [aut, cre] |
Maintainer: |
David Hajage <david.hajage at aphp.fr> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
hrIPW results |
Documentation:
Downloads:
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