有偏差的骨骼样本的稳定的产妇死亡率估计

IF 1.9 4区社会学 Q3 EVOLUTIONARY BIOLOGY

Anthropological Science Pub Date : 2020-01-01 DOI:10.1537/ase.2005051

Clare McFadden, Britta Tiel, M. Oxenham

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引用次数: 2

摘要

本文旨在提供一个稳定的(即不容易受到性别代表差异的影响)方程来估计有偏差的骨骼样本的孕产妇死亡率。稳定的方程是在联合国用于开发原始方法的数据上开发和测试的(McFadden和Oxenham, Current Anthropology, 60(1)， 141-146)，并应用于来自东南亚大陆的16个生物考古样本。一阶相关和基本描述性统计应用于数据。稳定后的方程在精度上与原方程相当。当应用于生物考古样本时，它被证明是有利的，当性别比例在两个方向上的差异超过0.15(即更多的女性或更多的男性)。稳定方程是对表现出按年龄随机分布的性别偏差的样本的原始方程的改进。该方法扩展了产妇死亡率估计器的潜在应用。

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A stabilized maternal mortality rate estimator for biased skeletal samples

This paper seeks to provide a stabilized (i.e. less vulnerable to differences in sex representa tion) 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 bioarchae ological 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.

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来源期刊

Anthropological Science 生物-进化生物学

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Anthropological Science (AS) publishes research papers, review articles, brief communications, and material reports in physical anthropology and related disciplines. The scope of AS encompasses all aspects of human and primate evolution and variation. We welcome research papers in molecular and morphological variation and evolution, genetics and population biology, growth and development, biomechanics, anatomy and physiology, ecology and behavioral biology, osteoarcheology and prehistory, and other disciplines relating to the understanding of human evolution and the biology of the human condition.