Dabbs Gretchen R, Moore-Jansen Peer H
Department of Anthropology, University of Kentucky, 211 Lafferty Hall, Lexington, KY 40506, USA.
J Forensic Sci. 2010 Jan;55(1):149-52. doi: 10.1111/j.1556-4029.2009.01232.x. Epub 2009 Dec 2.
The most accurate and precise methods for the assessment of age and stature often require knowledge of sex. Thus, being able to correctly identify sex from skeletal remains is critical in the forensic context. The presence of the os coxae or skull can never be guaranteed, making the development of reliable methods of sex estimation using other skeletal elements necessary. Using a 724 individual calibration sample from the Hamann-Todd collection, this study identifies sexual dimorphism in the human scapula, and presents a new five-variable discriminant function for sex estimation. The overall accuracy of this method proved to be 95.7% on the cross-validated calibration sample, 92.5% on an 80 individual test sample from the Hamann-Todd collection, and 84.4% on a 32 individual test sample from the skeletal collection of the Wichita State University Biological Anthropology Laboratory. Additionally, a slightly less accurate two-variable model was developed and has cross-validated accuracy of 91.3%.
评估年龄和身高最准确、精确的方法通常需要了解性别。因此,在法医领域,能够从骨骼遗骸中正确识别性别至关重要。髋骨或头骨的存在无法保证,因此有必要开发利用其他骨骼元素进行可靠性别估计的方法。本研究使用来自哈曼 - 托德藏品的724个个体校准样本,识别了人类肩胛骨的性别二态性,并提出了一种用于性别估计的新的五变量判别函数。该方法在交叉验证校准样本上的总体准确率为95.7%,在来自哈曼 - 托德藏品的80个个体测试样本上为92.5%,在来自威奇托州立大学生物人类学实验室骨骼藏品的32个个体测试样本上为84.4%。此外,还开发了一个准确性稍低的双变量模型,其交叉验证准确率为91.3%。