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

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