Open AccessDetermination of sex using cephalo-facial dimensions by discriminant function and logistic regression equations
Author(s) -
Twisha Shah,
Manish Patel,
Surinder Nath,
Shobhana K. Me
Publication year - 2016
Publication title -
egyptian journal of forensic sciences/egyptian journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.238
H-Index - 18
eISSN - 2090-5939
pISSN - 2090-536X
DOI - 10.1016/j.ejfs.2015.03.004
Subject(s) - discriminant function analysis , logistic regression , gujarati , sexual dimorphism , statistics , linear discriminant analysis , mathematics , discriminant , regression analysis , demography , population , regression , biology , artificial intelligence , zoology , computer science , philosophy , linguistics , sociology
The aim is to bring together the new anthropological techniques and knowledge about populations that are least known. The present study was performed on 901 healthy Gujarati volunteers (676 males, 225 females) within the age group of 21–50years with the aim to examine whether any correlation exists between cephalofacial measures naming maximum head length, maximum head breadth, bizygomatic breadth, bigonial diameter, morphological facial length, physiognomic facial length, biocular breadth and total cephalofacial height and sex determination. Also, discriminant function and logistic regression methods were verified to check the best accuracy level for sex determination. Mean values of cephalofacial dimensions were higher in males than in females. Best reliable results were obtained by using logistic regression equations in males (92%) and discriminant function in females (80.9%). Our study conclusively establishes the existence of a definite statistically significant sexual dimorphism in Gujarati population using cephalo-facial dimensions