Department of Integrative Biology

... Page 7. Racial Typology 287 ... First, unique discriminant func-tions are calculated based on what measurements can be collected from an unknown individual. Second, posterior and typicality probabilities are cal-culated in addition to the discriminant function score. ...

An accurate and precise estimate of stature can be very useful in the analysis of human remains in forensic cases. A problem with many stature estimation methods is that an unknown individual must first be assigned to a specific group before a method can be applied. Group membership has been defined by sex, age, year of birth, race, ancestry, continental origin, nationality or a combination of these criteria. Univariate and multivariate sex-specific and generic equations are presented here that do not require an unknown individual to be assigned to a group before stature is estimated. The equations were developed using linear regression with a sample (n=244) from the Terry Collection and tested using independent samples from the Forensic Anthropology Databank (n=136) and the Lisbon Collection (n=85). Tests with these independent samples show that (1) the femur provides the best univariate results; (2) the best multivariate equation includes the humerus, femur and tibia lengths; (3) ...

The use of cadaver length and forensic stature as a proxy for living standing height has not been scrutinized in detail. In this paper we present a brief review of the current knowledge on the relationship between cadaver, living and forensic stature; assess the magnitude and nature of the differences between these three measures of stature; and investigate the potential impact of these differences in forensic contexts. The study uses a sample of 84 males who were autopsied in 2008 at the National Institute of Legal Medicine and Forensic Sciences (Porto, Portugal), where stature data were collected from three different sources: cadaver stature was obtained from the corpse prior to autopsy, living stature was obtained from military conscription records and forensic stature was obtained from national citizenship identification card records. Descriptive statistics, ANOVA and linear regression are used to analyze the data. The results show that cadaver stature is the highest measure, fo...

An estimate of stature can be used by a forensic anthropologist with the preliminary identification of an unknown individual when human skeletal remains are recovered. Fordisc is a computer application that can be used to estimate stature; like many other methods it requires the user to assign an unknown individual to a specific group defined by sex, race/ancestry, and century of birth before an equation is applied. The assumption is that a group-specific equation controls for group differences and should provide the best results most often. In this paper we assess the utility and benefits of using group-specific equations to estimate stature using Fordisc. Using the maximum length of the humerus and the maximum length of the femur from individuals with documented stature, we address the question: Do sex-, race/ancestry- and century-specific stature equations provide the best results when estimating stature? The data for our sample of 19th Century White males (n=28) were entered into Fordisc and stature was estimated using 22 different equation options for a total of 616 trials: 19th and 20th Century Black males, 19th and 20th Century Black females, 19th and 20th Century White females, 19th and 20th Century White males, 19th and 20th Century any, and 20th Century Hispanic males. The equations were assessed for utility in any one case (how many times the estimated range bracketed the documented stature) and in aggregate using 1-way ANOVA and other approaches. This group-specific equation that should have provided the best results was outperformed by several other equations for both the femur and humerus. These results suggest that group-specific equations do not provide better results for estimating stature while at the same time are more difficult to apply because an unknown must be allocated to a given group before stature can be estimated.

Sex estimation from skeletal remains can be an important part of preliminary identification. The best source of information for estimating sex is the pelvis but it is not always available for analysis. For these cases, a probabilistic sex estimation method is presented using combinations of standard and alternative measurements of the clavicle, humerus, radius, and ulna. Various equations are developed that are not population specific and that are applicable in various recovery scenarios. The equations were tested using four independent samples (n > 370), including a forensic sample. Allocation accuracies vary by test sample and equation and are consistently good (87.4-97.5%) except for a sample of very small males that show the extreme effects of poverty and mortality bias. For many of the cases where allocation was incorrect, the probabilistic approach indicated that no confidence should be placed in the incorrect allocation and the unknown should be classified as sex indeterminate.

A comprehensive model that builds on cemetery studies theory and new biocultural synthesis theory is presented for investigating human variation using reference collections. This model is used to investigate several hypotheses related to the use of skeletal reference collections and the race concept in skeletal biology. Are racial categories or equivalent terms useful for investigating human variation? Have biases in reference collections resulted in a misinterpretation of human variation? Is it possible to identify and control for some of the biases in reference collections and develop identification methods that are still useful in the 21st century? Documentary, historical and skeletal data were collected from two different reference collections: the Terry and Coimbra Collections. Some data from the Forensic Anthropology Data Bank (FDB) were also used in conjunction with these two collections in analyses related to patterns of sexual dimorphism, sex determination methods, and asse...