Howley Donna, Howley Peter, Oxenham Marc F
The Australian National University, Australia.
University of Newcastle, Australia.
Forensic Sci Int. 2018 Jun;287:220.e1-220.e10. doi: 10.1016/j.forsciint.2018.03.017. Epub 2018 Mar 16.
Stature and a further 8 anthropometric dimensions were recorded from the arms and hands of a sample of 96 staff and students from the Australian National University and The University of Newcastle, Australia. These dimensions were used to create simple and multiple logistic regression models for sex estimation and simple and multiple linear regression equations for stature estimation of a contemporary Australian population. Overall sex classification accuracies using the models created were comparable to similar studies. The stature estimation models achieved standard errors of estimates (SEE) which were comparable to and in many cases lower than those achieved in similar research. Generic, non sex-specific models achieved similar SEEs and R values to the sex-specific models indicating stature may be accurately estimated when sex is unknown.
对来自澳大利亚国立大学和澳大利亚纽卡斯尔大学的96名教职员工和学生样本的手臂和手部进行了身高以及另外8个人体测量维度的记录。这些维度被用于创建用于性别估计的简单和多元逻辑回归模型，以及用于当代澳大利亚人群身高估计的简单和多元线性回归方程。使用所创建模型的总体性别分类准确率与类似研究相当。身高估计模型的估计标准误差（SEE）与类似研究相当，并且在许多情况下低于类似研究中的误差。通用的、非特定性别的模型与特定性别的模型具有相似的SEE和R值，这表明在性别未知时身高也可以被准确估计。
