<?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>Creates Group Sequential Trial Designs when Early Outcomes are
Available</dc:title>
  <dc:title>R package gsearly version 1.1.1</dc:title>
  <dc:description>Methods to construct and power group sequential clinical trial 
  designs for outcomes at multiple times. Outcomes at earlier times provide
  information on the final (primary) outcome. A range of recruitment and 
  correlation models are available as are methods to simulate data in order to 
  explore design operating characteristics. For more details see Parsons (2024)
  &lt;doi:10.1186/s12874-024-02174-w&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.2)</dc:relation>
  <dc:relation>Imports: graphics, grDevices, gsDesign (&gt;= 3.2.1), methods, mvtnorm (&gt;=
1.2-4), nlme (&gt;= 3.1-160), stats, utils</dc:relation>
  <dc:creator>Nick Parsons &lt;nick.parsons@warwick.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nick Parsons [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-9975-888X&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-07-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gsearly</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gsearly</dc:identifier>
</oai_dc:dc>
