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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">INF41-207</article-id><article-id pub-id-type="doi">10.3233/INF-1993-41-207</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Proportional intensity model for regression in event-history analysis<xref ref-type="fn" rid="fn1"><sup>✩</sup></xref></article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Volf</surname><given-names>Petr</given-names></name><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Information Theory and Automation, Czech Academy of Sciences, Pod vodárenskou věží 4, 182 08 Praha 8, Czech Republic</aff></contrib-group><author-notes><fn id="fn1"><label><sup>✩</sup></label><p>The research was supported by the Czech Academy of Sciences grant 27 557</p></fn></author-notes><pub-date pub-type="epub"><day>01</day><month>01</month><year>1993</year></pub-date><volume>4</volume><issue>1-2</issue><fpage>111</fpage><lpage>125</lpage><abstract><p>The additive regression function is considered in the framework of the proportional hazard regression model for event-history data. The model is subjected to nonparametric estimation by the local likelihood procedure. Example illustrates the method, the hypotheses about the model are tested.</p></abstract><kwd-group><label>Keywords</label><kwd>additive regression</kwd><kwd>counting process</kwd><kwd>event-history analysis</kwd><kwd>local likelihood (scoring)</kwd><kwd>proportional intensity model</kwd></kwd-group></article-meta></front></article>