Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data.
The widely used methods for estimating adult mortality rates from sample survey responses about the survival of siblings, parents, spouses, and others depend crucially on an assumption that, as we demonstrate, does not hold in real data. We show that when this assumption is violated so that the mort...
| Publicado en: | Demography Vol. 43; no. 3; pp. 569 - 586 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Science & Business Media B.V.
August 2006
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510617792&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510617792 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography issn: 00703370 maglogo: N pubinfo: dt: August 2006 vid: 43 iid: 3 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 510617792 10.1353/dem.2006.0024 ppf: 569 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data. aug: au: Gakidou, Emmanuela King, Gary su: Mortality -- Mathematical models Siblings Family size sug: subj: Mortality -- Mathematical models Siblings Family size ab: The widely used methods for estimating adult mortality rates from sample survey responses about the survival of siblings, parents, spouses, and others depend crucially on an assumption that, as we demonstrate, does not hold in real data. We show that when this assumption is violated so that the mortality rate varies with sibship size, mortality estimates can be massively biased. By using insights from work on the statistical analysis of selection bias, survey weighting, and extrapolation problems, we propose a new and relatively simple method of recovering the mortality rate with both greatly reduced potential for bias and increased clarity about the source of necessary assumptions. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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