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<div class="page-header"><h1>hdps R Package</h1></div>
<div class="well small">Permalink: <a class="more" href="/hdps-r-package.html">2015-11-22 22:41:00-08:00</a>
by <a class="url fn" href="/author/admin.html">admin </a>
in <a href="/category/software.html">Software</a>
tags: <a href="/tag/r.html">R</a> <a href="/tag/propensity-score.html">propensity score</a> </div>
<div><p>The <a href="https://github.com/lendle/hdps">hdps R package</a> is a high dimensional propensity score algorithm. The high-dimensional propensity score (HDPS) algorithm is a method for high-dimensional proxy adjustment in claims data. This package implements the variable transformation and variable selection parts of the algorithm.</p>
<p>Schneeweiss, S., Rassen, J. A., Glynn, R. J., Avorn, J., Mogun, H., & Brookhart, M. A. (2009). High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology (Cambridge, Mass.), 20(4), 512.</p>
<p><strong>Author(s)</strong>: Sam Lendle</p>
<p><a href="https://github.com/lendle/hdps">GitHub</a></p></div>
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