Assessing Psychiatric Morbidity from Community Registers: Methods for Bayesian Adjustment.
This paper considers Bayesian approaches to adjusting small area prevalence estimates derived from a community register of the seriously mentally ill, by taking account of underlying variability in latent prevalence between areas. Adjustment of individual prevalence rates to take account of the enti...
| Publicado en: | Urban Studies (Routledge) Vol. 35; no. 12; pp. 2323 - 2352 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Dec98
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=1427533&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 1427533 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00420980 UST jtl: Urban Studies (Routledge) issn: 00420980 maglogo: Y pubinfo: dt: Dec98 vid: 35 iid: 12 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 1427533 10.1080/0042098983908 ppf: 2323 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 669KB tig: atl: Assessing Psychiatric Morbidity from Community Registers: Methods for Bayesian Adjustment. aug: au: Congdon, Peter Smith, Alan Dean, Christine su: People with mental illness Bayesian analysis United Kingdom sug: subj: United Kingdom People with mental illness Bayesian analysis ab: This paper considers Bayesian approaches to adjusting small area prevalence estimates derived from a community register of the seriously mentally ill, by taking account of underlying variability in latent prevalence between areas. Adjustment of individual prevalence rates to take account of the entire spatial distribution has implications both for epidemiological inference and resource rankings for localities. The more commonly adopted empirical Bayes approaches are here compared with fully Bayes approaches. Fully Bayes methods allow for uncertainty in the prevalence parameters and also permit the inclusion of information from other sources (for example, hospital admissions for mental illness) or from previous studies. The impact of socioeconomic indices on morbidity and its relevance for adjusted prevalence estimates is also considered. A case study is applied to an East London Health Authority, Barking and Havering. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Urban Studies (Routledge) is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Urban Studies (Routledge) holder: Taylor & Francis Ltd dt: @attributes: year: 1998 holdings: @attributes: islocal: N |
|---|