Sex determination by discriminant function analysis of femoral heads of a North Indian population

2016 ◽  
Vol 3 (3) ◽  
pp. 172
Author(s):  
Rajneesh Pandey ◽  
Harish Gaikwad
2020 ◽  
Vol 83 (4) ◽  
pp. 349-361
Author(s):  
Maninder Kaur ◽  
Mankamal Kaur ◽  
Jigmath Yangchan

AbstractThe present study attempted to identify sex of an individual using a fingerprint ridge density at three topological areas in the North Indian population. The study population consisted of 134 males and 136 females aged 17 to 25 years (mean age 19.34±2.12). Ridge density (RD) at radial, ulnar and proximal topological areas of the distal phalanges were determined on the surface area of 25mm2. Fingerprint ridge density in a defined area was significantly higher among females as compared to their male counterparts at radial, ulnar and proximal topological areas for both hands. Sexual dimorphic ratio also supported this trend for all three counting areas in right and left hands. Univariate discriminant function analysis explained that the left 2 radial (L2R) (88.1%) had the highest percentage of accuracy for sex identification, followed by the left 3 ulnar (L3U) (82.1%) and the right 2 ulnar (R2U) (81.6%). Multivariate discriminant function analysis showed that the radial topological area of the left hand was the best predictor of sex with the overall accuracy of 84.4%with following discriminant function equation −8.263 − 0.236(L1R) + + 0.321(L2R) + 0.269(L3R) + 0.268(L4R) − 0.067(L5R).It can be inferred that ridge density in the radial topological area of left hand is the most reliable tool for identifying the sex of an individual.


2019 ◽  
Vol 59 (3) ◽  
pp. 171-179 ◽  
Author(s):  
Preetika M Chatterjee ◽  
Kewal Krishan ◽  
RK Singh ◽  
Tanuj Kanchan

In human beings, sexual dimorphism can be well distinguished in almost every bone of the skeleton. Establishing a reliable biological profile is the foremost step in identifying human skeletal remains. Sex determination along with the estimation of age, stature and ancestry comprise the important parameters in establishing a biological profile. The pelvis and skull are considered the most reliable bones in sexing human remains. In the absence of the pelvis and skull, forensic scientists must rely upon other parts of the skeleton for sex assessment. Determination of sex from long bones based on morphological traits can be a challenging task, as there are a few morphological differences between the sexes for long bones. However, metric variations can prove to be helpful, as they are reproducible and more reliable. Metric analysis also has the added benefit of being less biased than nonmetric analysis. This study aimed to establish sex determination standards from tibiae using discriminant function analysis. A total of 17 measurements were taken on 162 dry tibiae (116 males and 46 females) of known sex and in the age range 20–60 years. Discriminant function analysis was performed to derive models for sexing of the tibiae. The breadth of the medial articular surface was observed to be the best parameter for sex prediction from metric measurements of the tibia. In stepwise analysis, only seven parameters – namely, the breadth of the medial articular surface, the condylo-malleolar length, the circumference at the nutrient foramen, the breadth of the lateral articular surface, the maximum length, the transverse diameter in the middle of the bone and the transverse diameter at the level of the nutrient foramen – were entered into the discriminant functions. Overall, the accuracy of sexing was observed to be 93.8% and 95% with the direct method and the stepwise method, respectively. This study provides a database and standards for sex estimation from tibiae based on discriminant function models. This investigation further concludes that tibiae can be used for sex determination in forensic examinations.


2013 ◽  
Vol 54 (3) ◽  
pp. 272-278 ◽  
Author(s):  
Željana Bašić ◽  
Ivana Anterić ◽  
Katarina Vilović ◽  
Anja Petaros ◽  
Alan Bosnar ◽  
...  

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