stdReg2

stdReg2-package

Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) tools:::Rd_expr_doi("10.1007/s10654-016-0157-3"). Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.

Contains more modern tools for causal inference using regression
standardization. Four general classes of models are implemented; generalized
linear models, conditional generalized estimating equation models,
Cox proportional hazards models, and shared frailty gamma-Weibull models.
Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>.
Also includes functionality for doubly robust estimation for generalized linear models
in some special cases, and the ability to implement custom models.

Michael Sachs

Regression Standardization for Causal Inference

Michael C Sachs

Arvid Sjölander

Erin E Gabriel

Johan Sebastian Ohlendorff

Adam Brand

stdReg2-package function

Maintainer: Michael C Sachs <a href="/link/sachsmc%40gmail.com?package=stdReg2&version=1.0.3" data-mini-rdoc="stdReg2::sachsmc@gmail.com">sachsmc@gmail.com</a>
Authors:<ul>
<li>Arvid Sjölander</li>
<li>Erin E Gabriel</li>
<li>Johan Sebastian Ohlendorff</li>
<li>Adam Brand</li>
</ul>

Author

stdReg2: Regression Standardization for Causal Inference — stdReg2-package

Maintainer: Michael C Sachs <a href='mailto:sachsmc@gmail.com'>sachsmc@gmail.com</a>
Authors:<ul>
<li>Arvid Sjölander</li>
<li>Erin E Gabriel</li>
<li>Johan Sebastian Ohlendorff</li>
<li>Adam Brand</li>
</ul>

stdReg2-package: stdReg2: Regression Standardization for Causal Inference

Description

Arguments

Author

See Also