<?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>Sample Size for SMART Designs in Non-Surgical Periodontal Trials</dc:title>
  <dc:title>R package SMARTp version 0.1.1</dc:title>
  <dc:description>Sample size calculation to detect dynamic treatment regime (DTR) effects based on change in clinical attachment level (CAL) outcomes from a non-surgical chronic periodontitis treatments study. The experiment is performed under a Sequential Multiple Assignment Randomized Trial (SMART) design. The clustered tooth (sub-unit) level CAL outcomes are skewed, spatially-referenced, and non-randomly missing. The implemented algorithm is available in Xu et al. (2019+) &lt;arXiv:1902.09386&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: covr, sn (&gt;= 1.5), mvtnorm (&gt;= 1.0), stats, methods</dc:relation>
  <dc:creator>Dipankar Bandyopadhyay &lt;bandyopd@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jing Xu, Dipankar Bandyopadhyay, Douglas Azevedo, Bibhas Chakraborty</dc:contributor>
  <dc:rights>LGPL (&gt;= 2)</dc:rights>
  <dc:date>2019-05-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SMARTp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SMARTp</dc:identifier>
</oai_dc:dc>