{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/14688"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/14688","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"Continuous Time Multi-state Models for Survival Analysis","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Gibson, Erika"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008-12-20T14:54:41Z","date_published":"2008-12-20T14:54:41Z","updated_at":"2026-07-27T22:00:55Z","subjects":["multi-state models"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/14688","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Gibson, Erika"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2008-12-20T14:54:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2008-12-20T14:54:41Z"]},{"key":"dc:date.issued","label":"Date","values":["2008-12-20T14:54:41Z"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["multi-state models"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/14688"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Continuous Time Multi-state Models for Survival Analysis"]}]}],"canonical_facts":{"dc:creator":["Gibson, Erika"],"dc:date.accessioned":["2008-12-20T14:54:41Z"],"dc:date.available":["2008-12-20T14:54:41Z"],"dc:date.issued":["2008-12-20T14:54:41Z"],"dc:description.abstract":["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."],"dc:identifier.uri":["http://hdl.handle.net/10339/14688"],"dc:language.iso":["en_US"],"dc:publisher":["Wake Forest University"],"dc:subject":["multi-state models"],"dc:title":["Continuous Time Multi-state Models for Survival Analysis"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:00:55Z"}