Small area estimation of incidence of cancer around a known source of exposure with fine resolution data.
Objectives: To describe the small area system developed in Finland. To illustrate the use of the system with analyses of incidence of lung cancer around an asbestos mine. To compare the performance of different spatial statistical models when applied to sparse data.Methods: In the small area system,...
| Publicado en: | Occupational & Environmental Medicine Vol. 58; no. 5; pp. 315 - 321 |
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| Autores principales: | , , , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
BMJ Publishing Group
May2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106686591&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106686591 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13510711 22H jtl: Occupational & Environmental Medicine issn: 13510711 maglogo: N pubinfo: dt: May2001 vid: 58 iid: 5 pid: 8280 pub: BMJ Publishing Group artinfo: ui: 106686591 NLM11303080 2004011472 10.1136/oem.58.5.315 NLM11303080 106686591 ppf: 315 ppct: 6 formats: tig: atl: Small area estimation of incidence of cancer around a known source of exposure with fine resolution data. aug: au: Kokki E Ranta J Penttinen A Pukkala E Pekkanen J Kokki, E Ranta, J Penttinen, A Pukkala, E Pekkanen, J affil: Unit of Environmental Epidemiology, National Public Health Institute, PO Box 95, FIN-70701 Kuopio, Finland sug: subj: Asbestos Adverse Effects Lung Neoplasms Epidemiology Mining Adolescence Adult Aged Aged, 80 and Over Child Child, Preschool Comparative Studies Confidence Intervals Confounding Data Analysis Software Descriptive Statistics Finland Incidence Infant Infant, Newborn Life Style Lung Neoplasms Risk Factors Middle Age Models, Statistical Registries, Disease Relative Risk Socioeconomic Factors Funding Source Human Adolescent: 13-18 years Adult: 19-44 years Aged: 65+ years Aged, 80 & over Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Infant, Newborn: birth-1 month Middle Aged: 45-64 years ab: Objectives: To describe the small area system developed in Finland. To illustrate the use of the system with analyses of incidence of lung cancer around an asbestos mine. To compare the performance of different spatial statistical models when applied to sparse data.Methods: In the small area system, cancer and population data are available by sex, age, and socioeconomic status in adjacent "pixels", squares of size 0.5 km x 0.5 km. The study area was partitioned into sub-areas based on estimated exposure. The original data at the pixel level were used in a spatial random field model. For comparison, standardised incidence ratios were estimated, and full bayesian and empirical bayesian models were fitted to aggregated data. Incidence of lung cancer around a former asbestos mine was used as an illustration.Results: The spatial random field model, which has been used in former small area studies, did not converge with present fine resolution data. The number of neighbouring pixels used in smoothing had to be enlarged, and informative distributions for hyperparameters were used to stabilise the unobserved random field. The ordered spatial random field model gave lower estimates than the Poisson model. When one of the three effects of area were fixed, the model gave similar estimates with a narrower interval than the Poisson model.Conclusions: The use of fine resolution data and socioeconomic status as a means of controlling for confounding related to lifestyle is useful when estimating risk of cancer around point sources. However, better statistical methods are needed for spatial modelling of fine resolution data. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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