crossurr

crossurr-package

The main functions of this package are <code>xf_surrogate</code> and <code>xfr_surrogate</code>

internal

Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022).
"Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.

Denis Agniel

Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
Surrogate Markers

Boris P. Hejblum

Layla Parast

crossurr-package function

Maintainer: Denis Agniel <a href="/link/dagniel%40rand.org?package=crossurr&version=1.1.2" data-mini-rdoc="crossurr::dagniel@rand.org">dagniel@rand.org</a>
Authors:<ul>
<li>Boris P. Hejblum <a href="/link/boris.hejblum%40u-bordeaux.fr?package=crossurr&version=1.1.2" data-mini-rdoc="crossurr::boris.hejblum@u-bordeaux.fr">boris.hejblum@u-bordeaux.fr</a></li>
<li>Layla Parast <a href="/link/parast%40austin.utexas.edu?package=crossurr&version=1.1.2" data-mini-rdoc="crossurr::parast@austin.utexas.edu">parast@austin.utexas.edu</a></li>
</ul>

Author

crossurr — crossurr-package

Maintainer: Denis Agniel <a href='mailto:dagniel@rand.org'>dagniel@rand.org</a>
Authors:<ul>
<li>Boris P. Hejblum <a href='mailto:boris.hejblum@u-bordeaux.fr'>boris.hejblum@u-bordeaux.fr</a></li>
<li>Layla Parast <a href='mailto:parast@austin.utexas.edu'>parast@austin.utexas.edu</a></li>
</ul>

crossurr-package: crossurr

Description

Arguments

Author