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NCJ Number: 229701 Find in a Library
Title: Stature Estimation from Foot Length Using Universal Regression Formula in a North Indian Population
Journal: Journal of Forensic Sciences  Volume:55  Issue:1  Dated:January 2010  Pages:163-166
Author(s): Tanuj Kanchan, M.D., D.F.M.; Ritesh G. Menezes, M.D., D.B.N.; Rohan Moudgil, M.Sc; Ramneet Kaur, M.Sc.; M. S. Kotian, M.Sc.; Rakesh K. Garg, Ph.D.
Date Published: January 2010
Page Count: 4
Publisher: http://www3.interscience.wiley.com 
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: This study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown.
Abstract: Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown. 3 figures, 3 tables, and 18 references (Published abstract)
Main Term(s): Criminology
Index Term(s): Bone analysis; Death investigations; Foreign criminal justice research; Forensic sciences; India; Investigative techniques; Victim identification
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=251733

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