<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.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>2026-09-20T00:20:19Z</responseDate><request verb="GetRecord" identifier="oai:wakespace.lib.wfu.edu:10339/14688" metadataPrefix="dim">https://wakespace.lib.wfu.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:null:10339/14688</identifier><datestamp>2026-04-21T20:59:46Z</datestamp><setSpec>com_10339_14934</setSpec><setSpec>col_10339_38132</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Gibson, Erika</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned" lang="en_US">2008-12-20T14:54:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-06-18T18:57:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available" lang="en_US">2008-12-20T14:54:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-06-18T18:57:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008-12-20T14:54:41Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://wakespace.lib.wfu.edu/handle/10339/14688</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The purpose of this paper is to discuss the survival analysis techniques for continuous time multi-state models.  It explores homogeneous Markov models, homogeneous semi-Markov models, non-homogeneous Markov models, and general models.  It also discusses the likelihoods, hazards, and probabilities for each model.  This paper examines techniques that deal with right and interval censoring data in continuous situations.  Another issue dealt with is data that are observable at each transition and those that cannot be.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">en_US</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Wake Forest University</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">multi-state models</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">survival analysis</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Continuous Time Multi-state Models for Survival Analysis</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="accessRights" lang="en_US">Release the entire work immediately for access worldwide.</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeChair" lang="en_US">Robert Plemmons</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeMember" lang="en_US">James Norris</dim:field>
   <dim:field mdschema="thesis" element="contributor" qualifier="committeeMember" lang="en_US">Kenneth Berenhaut</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="discipline" lang="en_US">Mathematics</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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