MULTIGROUP DISCRIMINANT FUNCTION ANALYSIS FOR RACE AND SEX ASSESSMENT

我们的主要目标是制定分类标准， 在法医案件中识别人类骨骼遗骸， 考古调查。 在过去，这主要集中在 制定统计标准，用于评估性别和面孔， 当代和历史黑人和白色成人和胎儿 人口。 我们已就这些系统进行可靠性研究， 标准，目前正在扩大我们的研究， 包括用于评估识别用偏手性标准 目的 后者具有与生物医学相关的影响， 理解偏侧性和 骨关节炎，以及年龄、种族和性别的必要纳入 参数在其研究中使其成为我们早期的自然延伸 research. MBRS，MARC和许多其他荣誉水平的学生已经 在过去的几年里， 年 本研究的原材料涉及各大博物馆 收集，与法医科学家和执法部门联系 官员，并在两个案件中，考古'风格'的调查 古老的墓地。 这种研究材料和地点的混合， 再加上坚实的科学统计分析， 被证明是保持学生兴趣和参与的强大磁铁 在生物医学研究中。

Our main objective has been to develop criteria for classifying and identifying human skeletal remains in forensic casework and in archaeological investigations. In the past this has focused on generating statistical criteria for assessing sex and face in contemporary and historic Black and White adult and fetal populations. We have conducted reliability studies on these criteria and are presently engaged in extending our research to include criteria for assessing handedness for identification purposes. The latter has implications relevant to the biomedical understanding of the interrelationships between laterality and osteoarthritis, and the necessary inclusion of age, race, and sex parameters in its study make it a natural extension of our earlier research. MBRS, MARC and numerous other honors level students have been involved in earlier versions of this research over the past several years. The raw materials of this research involve major museum collections, contact with forensic scientists and law enforcement officials and, in two cases, archaeological 'style' investigations of older cemeteries. This mix of research materials and locations, coupled with the solid science of the statistical analyses, has proven a strong magnet for keeping students interested and involved in biomedical research.