کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6551853 | 160419 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An alternative approach for estimating stature from long bones that is not population- or group-specific
ترجمه فارسی عنوان
یک رویکرد جایگزین برای برآورد قد از استخوان های طولانی است که خاص نیستند
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کلمات کلیدی
انسانشناسی قضایی، معادلات قدامی، غیر اختصاصی، مجموعه تری، مجموعه لیسبون،
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
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) a generic equation that does not require an unknown to first be assigned to a given category provides the best results most often; (4) a population-specific equation does not provide better results for estimating stature; (5) sex-specific equations can provide slightly better results in some cases; however, estimating the wrong sex can have a negative impact on precision and accuracy. With these equations, stature can be estimated independently of age at death, sex or group membership.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forensic Science International - Volume 259, February 2016, Pages 59-68
Journal: Forensic Science International - Volume 259, February 2016, Pages 59-68
نویسندگان
John Albanese, Andrew Tuck, José Gomes, Hugo F.V. Cardoso,