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dc.date.accessioned2013-03-12T08:22:38Z
dc.date.issued2010en_US
dc.date.submitted2010-11-15en_US
dc.identifier.citationRadnia, Naeimeh. Analysis of Recurrent Event Data Using Poisson and Renewal Type models. Masteroppgave, University of Oslo, 2010en_US
dc.identifier.urihttp://hdl.handle.net/10852/10785
dc.description.abstractThe present text examines and applies methods for modeling recurrent event data, focusing on whether to use global time or recurrence time as the basic time scale. The purpose is to gain an insight into how easy/difficult it is in practical situations to discriminate between the various modeling approaches, and to discover whether unobservable heterogeneity between individuals should be handled by a frailty model or whether one should use a dynamic modeling approach. Our case study is based on data from a study concerning the influence of improving sanitation facilities in Salvador, Brazil. While the challenging issue is that our observation pattern is subject to significant intermittent missingness and drop out.eng
dc.language.isoengen_US
dc.titleAnalysis of Recurrent Event Data Using Poisson and Renewal Type modelsen_US
dc.typeMaster thesisen_US
dc.date.updated2012-03-11en_US
dc.creator.authorRadnia, Naeimehen_US
dc.date.embargoenddate10000-01-01
dc.rights.termsDette dokumentet er ikke elektronisk tilgjengelig etter ønske fra forfatter. Tilgangskode/Access code Aen_US
dc.rights.termsforeveren_US
dc.subject.nsiVDP::412en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Radnia, Naeimeh&rft.title=Analysis of Recurrent Event Data Using Poisson and Renewal Type models&rft.inst=University of Oslo&rft.date=2010&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-26650en_US
dc.type.documentMasteroppgaveen_US
dc.identifier.duo107934en_US
dc.contributor.supervisorProfessor Ørnulf Borganen_US
dc.identifier.bibsys111904609en_US
dc.rights.accessrightsclosedaccessen_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10785/1/Naeimeh-Radnia-Master-Thesis.pdf


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