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METRIC ASSESSMENT OF FEMUR USING DISCRIMINANT FUNCTION ANALYSIS IN SOUTH INDIAN POPULATION

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Author(s): Hema Nidugala | Bhagya Bhaskar | Sucharitha Suresh | Ramakrishna Avadhani

Journal: International Journal of Anatomy and Research
ISSN 2321-4287

Volume: 01;
Issue: 2;
Start page: 29;
Date: 2013;
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Keywords: FEMUR | SEXUAL DIMORPHISM | DISCRIMINANT FUNCTION ANALYSIS | SOUTH INDIAN POPULATION

ABSTRACT
Introduction: Sex determination from unidentified human skeletal elements is a challenge for forensic investigators and anthropologists. This study aims to detect the best variable for sex determination from different parameters of femur. Methods: We analyzed 75 (40 males and 35 females) femora of known sex from the Department of Anatomy. Eight parameters were measured and subjected to univariate statistics, multivariate analysis such as discriminant analysis and logistic regression analysis employing SPSS 13.00 version program. Results: The epicondylar breadth, antero-posterior diameter of lateral condyle, proximal breadth, vertical diameter of head and neck are statistically significant for dimorphism (p

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