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A stabilized maternal mortality rate estimator for biased skeletal samples

Bibliographic Data

ID6135416
AuthorsC Mcfadden (0000-0002-9515-5392, Australian National University), Britta Van Tiel (0000-0002-9071-9646, Australian National University), Marc F Oxenham (0000-0002-5804-2145, Australian National University)
Year2020
Volume128
Issue3
Pages113-117
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAnthropological Science (JOURNAL)
Journal identifiersISSN: 0918-7960 • E-ISSN: 1348-8570
PublisherAnthropological Society of Nippon (PUBLISHER • JP)
DOI10.1537/ase.2005051
OpenAlexW3047533731
LanguageEN
Citations received6
References cited19

This paper seeks to provide a stabilized (i.e. less vulnerable to differences in sex representation) equation for estimating maternal mortality for biased skeletal samples. The stabilized equation is developed and tested on the United Nations data used to develop the original method (McFadden and Oxenham, Current Anthropology, 60(1), 141-146), and is applied to 16 bioarchaeological samples from mainland Southeast Asia. First-order correlations and basic descriptive statistics were applied to the data. The stabilized equation was comparable in accuracy to the original equation. When applied to bioarchaeological samples, it proved to be advantageous where the sex ratio differed by more than 0.15 in either direction (i.e. more females or more males). The stabilized equation is an improvement over the original equation for samples that exhibit sex bias that is randomly distributed by age. This method extends the potential applications of the maternal mortality estimator

Econometrics · Estimator · Sociology · Statistics · Structural equation modeling · Birth, Development, and Health · Demographic Trends and Gender Preferences · Demography · Global Maternal and Child Health · Mathematics · Applied Mathematics

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Unique citing works6
Citations per year1,2
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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