<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Sensitivity Analysis for Observational Studies Using Weighted
M-Statistics</dc:title>
  <dc:title>R package sensitivitymw version 2.1</dc:title>
  <dc:description>Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test).   The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 &lt;doi:10.1080/01621459.2013.879261&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:creator>Paul R. Rosenbaum &lt;rosenbaum@wharton.upenn.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Paul R. Rosenbaum</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-01-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sensitivitymw</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sensitivitymw</dc:identifier>
</oai_dc:dc>