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在希腊塞浦路斯人群体中,用二进制逻辑回归和线性差异分析评估腰部的性二态
Erica Baer1, Anna S H La Valley2, Xenia-Paula Kyriakou2
1Department of Psychology, Kean University, 1000 Morris Avenue, Union, NJ, 07083, USA. ebaer@kean.edu.
Forensic science, medicine, and pathology
|March 20, 2025
概括
这项研究开发了准确的方法来估计希腊塞浦路斯人骨遗骸的性别,使用手臂部的测量. 二元逻辑回归被证明在评估这一群体的性二态性质方面更优越.
科学领域:
- 法医人类学 法医人类学
- 生物考古学的生物考古学
- 人类骨科人类骨科
背景情况:
- 准确的性别估计对于从人类遗骸中重建生物资料至关重要.
- 在现有的法医人类学文献中,塞浦路斯希腊人人口的代表性不足.
- 这项研究解决了对希腊塞浦路斯人特定的可靠性别估计方法的需求.
研究的目的:
- 在希腊塞浦路斯人身上建立精确可靠的性别估计方法.
- 为了比较二元逻辑回归 (BLR) 和线性差异函数分析 (LDA) 对性别分类的有效性.
- 为法医人类学家提供评估未知的希腊塞浦路斯骨遗骸的工具.
主要方法:
- 开发了使用BLR和LDA对119名希腊塞浦路斯人腰部测量的分类模型.
- 根据测量数据计算出性别分类的最佳切割点.
- 使用精度率,接收器运行特征 (ROC) 曲线,曲线下的面积 (AUC) 和科恩的 kappa.评估模型性能.
主要成果:
- 所有开发的模型都表现出良好的到优秀的分类性能,AUC值在0.88到0.91.9之间.
- 性别分类的准确率从85.56%到87.92%不等.
- 使用最大化的总和灵敏度和特异性比率来确定最佳切割点.
结论:
- 推使用二进制逻辑回归 (BLR) 作为评估希腊塞浦路斯人手臂两体性变态的首选方法.
- 个体腰部的测量和计算的切割点可以有效地按性别分类骨遗骸.
- 这项研究为对塞浦路斯希腊人人口的法医评估提供了有价值的数据.
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