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Probability, Statistics and Modelling in Public Health

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
hal.structure.identifierEpidémiologie, santé publique et développement
dc.contributor.authorCOMMENGES, Daniel
hal.structure.identifierUniversité Paris Descartes - UFR de Mathématiques et Informatique [UPD5 Mathématiques Informatique]
dc.contributor.authorHUBER, Catherine
dc.date.created2005
dc.date.issued2006
dc.description.abstractEnThis book consists of refereed contributions by expert biostatisticians that disscuss various probabilistic and statistical models used in public health.Topics discusses include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, degradation models, epidemiologocal methodspharmaceutical and enviromental statistics, analysis of quality of life.
dc.language.isoen
dc.publisherSpringer: NY
dc.title.enProbability, Statistics and Modelling in Public Health
dc.typeOuvrage
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologie
bordeaux.page479
hal.identifierhal-00223019
hal.version1
hal.popularnon
hal.audienceNon spécifiée
dc.subject.itAccelerated trials
dc.subject.itclinical trials
dc.subject.itcarcinogenesis studies
dc.subject.itdegradation models
dc.subject.itfuzzy data
dc.subject.itquality of life
dc.subject.itregression models
dc.subject.itsemi-parametric statistics
dc.subject.ittruncated data
dc.subject.itlifetime data analysis
dc.subject.itsurvival analysis
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00223019v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2006&rft.spage=479&rft.epage=479&rft.au=NIKULIN,%20Mikhail&COMMENGES,%20Daniel&HUBER,%20Catherine&rft.genre=unknown


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