The use of models in the estimation of disease epidemiology.
Objective To explore the usefulness of incidence-prevalence-mortality (IPM) models in improving estimates of disease epidemiology. Methods Two artificial and four empirical data sets (for breast, prostate, colorectal, and stomach cancer) were employed in IPM models. Findings The internally consisten...
| Publicado en: | Bulletin of the World Health Organization Vol. 80; no. 8; pp. 622 - 623 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
World Health Organization
2002
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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=106097793&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106097793 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00429686 BUW jtl: Bulletin of the World Health Organization issn: 00429686 maglogo: N pubinfo: dt: 2002 vid: 80 iid: 8 pid: 437 pub: World Health Organization artinfo: ui: 106097793 106097793 2009450027 NLM12219152 106097793 ppf: 622 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The use of models in the estimation of disease epidemiology. aug: au: Kruijshaar ME Barendregt JJ Hoeymans N sug: subj: Economic Aspects of Illness Epidemiological Research Models, Statistical Neoplasms Epidemiology Adolescence Aged Breast Neoplasms Epidemiology Child Child, Preschool Colorectal Neoplasms Epidemiology Data Collection Standards Female Forecasting Incidence Infant Male Middle Age Neoplasms Classification Neoplasms Mortality Netherlands Prevalence Prostatic Neoplasms Epidemiology Quality Control (Technology) Stomach Neoplasms Epidemiology Human Adolescent: 13-18 years Aged: 65+ years Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Middle Aged: 45-64 years Female Male ab: Objective To explore the usefulness of incidence-prevalence-mortality (IPM) models in improving estimates of disease epidemiology. Methods Two artificial and four empirical data sets (for breast, prostate, colorectal, and stomach cancer) were employed in IPM models. Findings The internally consistent artificial data sets could be reproduced virtually identically by the models. Our estimates often differed considerably from the empirical data sets, especially for breast and prostate cancer and for older ages. Only for stomach cancer did the estimates approximate to the data, except at older ages. Conclusion There is evidence that the discrepancies between model estimates and observations are caused both by data inaccuracies and past trends in incidence or mortality. Because IPM models cannot distinguish these effects, their use in improving disease estimates becomes complicated. Expert opinion is indispensable in assessing whether the use of these models improves data quality or, inappropriately, removes the effect of trends. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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