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Erschienen in: Demography 1/2013

01.02.2013

Adult Mortality From Sibling Survival Data: A Reappraisal of Selection Biases

verfasst von: Bruno Masquelier

Erschienen in: Demography | Ausgabe 1/2013

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Abstract

Because of incomplete registration of deaths in most countries in sub-Saharan Africa, data on the survival of close relatives constitute the cornerstone of estimates of adult mortality. Since 1990, sibling histories have been widely collected in Demographic and Health Surveys and are increasingly being relied upon to estimate both general and maternal mortality. Until recently, the use of sibling histories was thought to lead to underestimates of mortality, but a more optimistic view in the literature emerged with the development by Gakidou and King (Demography 43:569–585, 2006) of corrections for selection biases. Based on microsimulations, this article shows that Gakidou and King’s weighting scheme has been incorrectly applied to survey data, leading to overestimates of mortality, especially for males. The evidence for an association between mortality and sibship size in adulthood is reviewed. Female mortality appears to decline slightly with the number of surviving sisters, although this could be an artifact of severe recall errors in larger sibships or familial clustering of deaths. Under most circumstances, corrections for selection biases should have only a modest effect on sibling estimates.

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Fußnoten
1
I use the general model of the United Nations (1982).
 
2
They suggested computing \( \exp \left( {{{\beta }_{0}}+0.5\times {{\sigma }^{2}}} \right) \), where σ\( \sigma \) is the standard error of the regression.
 
3
In its core version, SOCSIM makes no allowance for AIDS mortality, but different transition rates can be set up for different groups with specific demographic rates. I model the HIV disease progression as a staged process from HIV infection to full-blown AIDS, allowing for reduced fertility of HIV-positive mothers and vertical transmission.
 
4
Four DHS surveys are discarded: Sudan 1990, because the data set is not standardized; Nigeria 1999 and Liberia 2007, because the data are not of very good quality (NMCP Liberia 2009; Pullum 2008); and Sierra Leone 2008, because the survival status is unknown for as much as 9 % of all siblings. Only women’s surveys are used.
 
5
These correlations are slightly higher than those published by GK, which are obtained from death rates corrected for the zero-survivor bias.
 
6
Sibships of more than six members are merged.
 
7
Own and proxy reports of person-years are divided by S i and tabulated by sibsize. The weights are computed for each age group because the first and last age groups have smaller sibships on average, given that they can be reported only by either their older siblings (in the case of 15- to 19-year-olds) or their younger siblings (in the case of 45- to 49-year-olds). Linear interpolation is used between successive surveys.
 
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Metadaten
Titel
Adult Mortality From Sibling Survival Data: A Reappraisal of Selection Biases
verfasst von
Bruno Masquelier
Publikationsdatum
01.02.2013
Verlag
Springer US
Erschienen in
Demography / Ausgabe 1/2013
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-012-0149-1

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