A semiparametric Bayesian model for repeatedly repeated binary outcomes

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dc.contributor.authorQuintana, Fernando A.
dc.contributor.authorMueller, Peter
dc.contributor.authorRosner, Gary L.
dc.contributor.authorRelling, Mary V.
dc.date.accessioned2024-01-10T13:46:05Z
dc.date.available2024-01-10T13:46:05Z
dc.date.issued2008
dc.description.abstractWe discuss the analysis of data from single-nucleotide polymorphism arrays comparing tumour and normal tissues. The data consist of sequences of indicators for loss of heterozygosity (LOH) and involve three nested levels of repetition: chromosomes for a given patient, regions within chromosomes and single-nucleotide polymorphisms nested within regions. We propose to analyse these data by using a semiparametric model for multilevel repeated binary data. At the top level of the hierarchy we assume a sampling model for the observed binary LOH sequences that arises from a partial exchangeability argument. This implies a mixture of Markov chains model. The mixture is defined with respect to the Markov transition probabilities. We assume a non-parametric prior for the random-mixing measure. The resulting model takes the form of a semiparametric random-effects model with the matrix of transition probabilities being the random effects. The model includes appropriate dependence assumptions for the two remaining levels of the hierarchy, i.e. for regions within chromosomes and for chromosomes within patient. We use the model to identify regions of increased LOH in a data set coming from a study of treatment-related leukaemia in children with an initial cancer diagnostic. The model successfully identifies the desired regions and performs well compared with other available alternatives.
dc.description.funderNATIONAL CANCER INSTITUTE
dc.description.funderNATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
dc.description.funderNCI NIH HHS
dc.description.funderNIGMS NIH HHS
dc.fechaingreso.objetodigital2024-05-09
dc.format.extent13 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1111/j.1467-9876.2008.00619.x
dc.identifier.issn0035-9254
dc.identifier.pubmedidMEDLINE:19746193
dc.identifier.urihttps://doi.org/10.1111/j.1467-9876.2008.00619.x
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/79117
dc.identifier.wosidWOS:000257674800003
dc.information.autorucMatemática;Quintana F;S/I;100343
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final431
dc.pagina.inicio419
dc.publisherWILEY-BLACKWELL
dc.revistaJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
dc.rightsacceso restringido
dc.subjectdirichlet process
dc.subjectloss of heterozygosity
dc.subjectpartial exchangeability
dc.subjectsemiparametric random effects
dc.subjectALLELIC-LOSS DATA
dc.subjectINFERENCE
dc.subjectHETEROZYGOSITY
dc.subjectDEPENDENCE
dc.subjectSEQUENCES
dc.subjectMIXTURE
dc.subjectORDER
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleA semiparametric Bayesian model for repeatedly repeated binary outcomes
dc.typeartículo
dc.volumen57
sipa.codpersvinculados100343
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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