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A Note on the Sisterhood Estimator of Maternal Mortality

Datos Bibliográficos

ID10795239
AutoresJames Trussell (0000-0002-1417-7849, Princeton University, autor de correspondencia), German Rodríguez (0000-0001-5663-2216), Germán Rodríguez-Bermúdez (0000-0003-3121-1532)
Año1990
Volumen21
Número6
Páginas344
Fecha de publicación1990-11-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaStudies in Family Planning (JOURNAL)
Identificadores de la revistaISSN: 0039-3665 • E-ISSN: 1728-4465
EditorialJSTOR (PUBLISHER)
DOI10.2307/1966923
PMID2075625
OpenAlexW2014923828
IdiomaEN
Citas recibidas14
Referencias citadas1

This paper comments on the Graham et al. extension of the sibling survival technique of Hill and Trussel to estimate maternal mortality. The basic ideas behind the sisterhood method are described. The Graham et al. thesis is found to be confusing and misleading in that multiple reporting or restricting the sample are viewed erroneously as equally valid alternatives. The sampling frame is confusing. All sisters drawn independently from the same distribution who belong in the sample assures that the 3 sources of error cancel each other exactly. The key assumption of the sisterhood method is independence of mortality experience of adult sisters. A probability model of dying of maternal causes is established and then applied to a numerical example of illustrate the point. An important point is that there should be the possibility that all sisters could be interviewed. When the method uses census rather than survey data, the bias is dependent on sibship size and value of p. The bias for surveys depends on the size of clusters and the extent to which sisters live geographically close by. Multiple reporting is essential for the technique

Census · Econometrics · Estimator · Genealogy · Independence (probability theory · Point (geometry · Population · Sample (material · Sample size determination · Sampling frame · Sibling · Sociology · Statistics · Demography · Food Security and Health in Diverse Populations · Health disparities and outcomes · History · Insurance, Mortality, Demography, Risk Management · Mathematics

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Obras citantes distintas14
Citas por año0,48
Intervalo de citas1997 - 2021 (25)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 14
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