Determination of Sex from Mastoid Process By Discriminant Function Analysis

Mastoid Process – A Tool for Sex Determination, an Anatomical Study in South Indian Skulls

“…17 The overall accuracy is higher in direct method (82.5% vs 76.7%) and lower in stepwise analysis(65% vs 66.7% ) in our study compared to North Indian population. 18 In the present study stepwise analysis selects MS-PO as the best discriminant which is in agreement with a study among Japanese population with an accuracy of 69.6%. 19 In a North Indian study 18 ML (mastoid length) was best determinant which is similar to Gupta's finding.…”

“…18 In the present study stepwise analysis selects MS-PO as the best discriminant which is in agreement with a study among Japanese population with an accuracy of 69.6%. 19 In a North Indian study 18 ML (mastoid length) was best determinant which is similar to Gupta's finding. 20 In another study among same population yield AST-MS and MB as best discriminants.…”

Evaluation of Skull Base Parameters in Sex Determination Using Anthropometric Measurements among a Sample of Egyptians

“…In the present study, all measurements of the palate revealed significantly higher male measurements. It demonstrates the usefulness of these variables in evaluating sexual dimorphism as demonstrated by various studies (Moreira et al, 2008;Sumati et al, 2012;Lima et al, 2012). Lima et al (2012) study demonstrated a significant sexual difference for IF-RGPF (4.3±0.3 in males versus 4.2±0.3 in females) and IF-LGPF measurements (4.4 ±0.3 in males versus 4.2±0.4 in females).…”

“…Bony and dental structures of the palate are often preserved even in the face of serious bodily damage at or following death (Sumati et al, 2012).…”

Palatometry in South Indian Skulls and Its Clinical Implications

“…The size of palate can be graded into small -(<35); medium -(35-39) and large -(>39) [11]. In a study done at Queensland and Coastal New South Wales, it was noted that if the grades were given values of one to three for size, the mean values of the sexes were 1.30 for females and 2.27 for males in Queensland series compared with 1.55 for females and 2.69 for males in the Coastal New South Wales series.…”