A Bayesian latent model with spatio-temporally varying coefficients in low birth weight incidence data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jungsoon | - |
dc.contributor.author | Lawson, Andrew B. | - |
dc.contributor.author | Cai, Bo | - |
dc.contributor.author | Hossain, Md Monir | - |
dc.contributor.author | Kirby, Russell S. | - |
dc.contributor.author | Liu, Jihong | - |
dc.date.accessioned | 2022-07-16T13:21:23Z | - |
dc.date.available | 2022-07-16T13:21:23Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2012-10 | - |
dc.identifier.issn | 0962-2802 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164457 | - |
dc.description.abstract | In spatial epidemiology studies, the effects of covariates on adverse health outcomes could vary over space and time so examining the spatio-temporally varying effects is useful. In particular, the association between covariates and health outcomes could have locally different temporal patterns. In this article, we develop a Bayesian spatio-temporal latent model to identify spatial clusters in each of which covariate effects have homogeneous temporal patterns as well as estimate heterogeneous temporal effects of covariates depending on spatial groups. We compare the proposed model to several alternative models to assess the performance of the proposed model in terms of a range of model assessment measures. Low birth weight incidence data in Georgia for the years 1997-2006 are used. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.title | A Bayesian latent model with spatio-temporally varying coefficients in low birth weight incidence data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Jungsoon | - |
dc.identifier.doi | 10.1177/0962280212446318 | - |
dc.identifier.wosid | 000309424500003 | - |
dc.identifier.bibliographicCitation | STATISTICAL METHODS IN MEDICAL RESEARCH, v.21, pp.445 - 456 | - |
dc.relation.isPartOf | STATISTICAL METHODS IN MEDICAL RESEARCH | - |
dc.citation.title | STATISTICAL METHODS IN MEDICAL RESEARCH | - |
dc.citation.volume | 21 | - |
dc.citation.startPage | 445 | - |
dc.citation.endPage | 456 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Health Care Sciences & Services | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Medical Informatics | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Health Care Sciences & Services | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Medical Informatics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | adverse outcome | - |
dc.subject.keywordPlus | Bayes theorem | - |
dc.subject.keywordPlus | cluster analysis | - |
dc.subject.keywordPlus | conference paper | - |
dc.subject.keywordPlus | constants and coefficients | - |
dc.subject.keywordPlus | controlled study | - |
dc.subject.keywordPlus | Georgia (republic) | - |
dc.subject.keywordPlus | human | - |
dc.subject.keywordPlus | incidence | - |
dc.subject.keywordPlus | low birth weight | - |
dc.subject.keywordPlus | performance | - |
dc.subject.keywordAuthor | latent model | - |
dc.subject.keywordAuthor | Low birth weight | - |
dc.subject.keywordAuthor | spatial cluster | - |
dc.subject.keywordAuthor | spatio-temporal mixture model | - |
dc.identifier.url | https://journals.sagepub.com/doi/10.1177/0962280212446318 | - |
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