<?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>Penalized Inverse-Variance Weighted Estimator for Mendelian
Randomization</dc:title>
  <dc:title>R package mr.pivw version 0.1.1</dc:title>
  <dc:description>The penalized inverse-variance weighted (pIVW) estimator is a Mendelian randomization method for estimating the causal effect of an exposure variable on an outcome of interest based on summary-level GWAS data. The pIVW estimator accounts for weak instruments and balanced horizontal pleiotropy simultaneously. See Xu S., Wang P., Fung W.K. and Liu Z. (2022) &lt;doi:10.1111/biom.13732&gt;.  </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:creator>Siqi Xu &lt;sqxu@hku.hk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Siqi Xu</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-09-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mr.pivw</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mr.pivw</dc:identifier>
</oai_dc:dc>