scholarly journals Determination of Sex by Discriminant Function Analysis of Lateral Radiographic Cephalometry

2011 ◽  
Vol 23 ◽  
pp. 179-183 ◽  
Author(s):  
Raj Kumar Badam ◽  
M Manjunath ◽  
MS Rani
Author(s):  
Gaurav Tiwari ◽  
Avinash Thakur ◽  
Murali Lalwani

Background: Determination of the identity of an unknown dead body is one of the most important medico-legal roles of forensic medicine. The present study aimed to determine the gender of the deceased body using the length of the skull sutures. Material and Methods: A cross-sectional study was conducted in the department of forensic medicine, Gandhi Medical College, Bhopal between the periods of January 2016-June 2017. A total of 500 dead bodies were examined for this study. We utilized the discriminant function analysis to predict a relationship between the gender and the independent variables viz. skull sutures. Results: Maximum numbers of the case belonged to 20‐29 years age group and the least were in >70 age group.  The minimum age of any case was 20 years and the maximum age was 89 years, mean of age was 38.07(standard deviation 13.61) and the median age was 35. There was a total of 307 males and 193 females. In the present study, the length of the Coronal suture is the most predictive parameter out of three in determining the gender of the deceased person with a value of 0.946. A total of 66.6% of original grouped cases [263 among 307 males (85.7%) and 70 females from 193 (36.3%)] were correctly classified using discriminant function analysis score.  Conclusion:  The correct gender from the skull of the body was identified in about two-third of the cases.


Web Ecology ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 153-159
Author(s):  
Abdennour Boucheker ◽  
Riad Nedjah ◽  
Roger Prodon ◽  
Mark Gillingham ◽  
François-Xavier Dechaume-Moncharmont ◽  
...  

Abstract. We used a large dataset of greater flamingo chicks banded and measured at Camargue, France, to verify the applicability of discriminant function analysis to sex this species. Males and females sexed genetically differed significantly in all of the morphological characters measured (body mass, tarsus and wing length), with males being significantly larger than females. Although the discriminant rate varied substantially from one year to another, we found that it increased with the sample size of genetically sexed individuals. Our results suggest that discriminant function analysis (DFA) does not provide an efficient tool to sex greater flamingo chicks as these relationship are highly variable across years, requiring the genetic determination of sex on a large number of individuals every year for calibrating the DFA and still providing an overall low accuracy in sex determination. Indeed, conditions at breeding seasons can vary between years and can be considered proximate causes affecting the correct discriminant rate. Like previous studies, we recommend caution in dealing with discriminant equations computed from small datasets, and our simulation suggests that 325 genetically sexed individuals are needed to obtain 80 % correctly classified greater flamingo chicks.


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