<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-10T12:19:02Z</responseDate>
  <request identifier="oai:figshare.com:article/34025533" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34025533</identifier>
        <datestamp>2026-09-29T17:23:21Z</datestamp>
        <setSpec>category_272</setSpec>
        <setSpec>category_45</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_106</setSpec>
        <setSpec>category_133</setSpec>
        <setSpec>portal_5</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>&lt;p&gt;COVID-period sensitivity analysis of linear annual median PPE trend models.&lt;/p&gt;</dc:title>
          <dc:creator>Michal Bozděch (13296415)</dc:creator>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>xlink "&gt; long</dc:subject>
          <dc:subject>system scenarios rather</dc:subject>
          <dc:subject>spline models showed</dc:subject>
          <dc:subject>lagged sensitivity analyses</dc:subject>
          <dc:subject>individual participation requirements</dc:subject>
          <dc:subject>female junior tennis</dc:subject>
          <dc:subject>defined annually using</dc:subject>
          <dc:subject>57 versus 29</dc:subject>
          <dc:subject>38 versus 17</dc:subject>
          <dc:subject>81 %, 8</dc:subject>
          <dc:subject>25 %, respectively</dc:subject>
          <dc:subject>higher projected efficiency</dc:subject>
          <dc:subject>median singles ppe</dc:subject>
          <dc:subject>higher subsequent ppe</dc:subject>
          <dc:subject>persistently higher ranking</dc:subject>
          <dc:subject>year models adjusted</dc:subject>
          <dc:subject>elite versus 26</dc:subject>
          <dc:subject>point production efficiency</dc:subject>
          <dc:subject>observed linear trend</dc:subject>
          <dc:subject>fixed trp benchmarks</dc:subject>
          <dc:subject>2004 &amp;# 8211</dc:subject>
          <dc:subject>total ppe defined</dc:subject>
          <dc:subject>repeated player observations</dc:subject>
          <dc:subject>total ranking points</dc:subject>
          <dc:subject>2025 &lt;/ p</dc:subject>
          <dc:subject>year elite status</dc:subject>
          <dc:subject>total ppe</dc:subject>
          <dc:subject>year observations</dc:subject>
          <dc:subject>97 %,</dc:subject>
          <dc:subject>point procedure</dc:subject>
          <dc:subject>performance efficiency</dc:subject>
          <dc:subject>efficiency demands</dc:subject>
          <dc:subject>doubles ppe</dc:subject>
          <dc:subject>elite status</dc:subject>
          <dc:subject>year elite</dc:subject>
          <dc:subject>linear player</dc:subject>
          <dc:subject>510 player</dc:subject>
          <dc:subject>status interactions</dc:subject>
          <dc:subject>conditional ranking</dc:subject>
          <dc:subject>trp divided</dc:subject>
          <dc:subject>trp ),</dc:subject>
          <dc:subject>term changes</dc:subject>
          <dc:subject>temporal differentiation</dc:subject>
          <dc:subject>stage data</dc:subject>
          <dc:subject>significantly different</dc:subject>
          <dc:subject>rising performance</dc:subject>
          <dc:subject>physiological load</dc:subject>
          <dc:description>&lt;p&gt;The table reports linear regression models estimating annual median PPE trends under three COVID-period specifications: all years included, exclusion of 2020–2021, and exclusion of 2020–2022. The non-elite annual slope represents the estimated yearly change among non-elite players, whereas the Elite × Year interaction represents the additional yearly change among elite players. A positive interaction indicates a steeper average linear annual change among elite players relative to non-elite players under the specified model; it should not be interpreted as evidence of uniform monotonic widening across the complete observation period.&lt;/p&gt; &lt;p&gt;(XLSX)&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T17:23:14Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0359538.s005</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_COVID-period_sensitivity_analysis_of_linear_annual_median_PPE_trend_models_p_/34025533</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
