Introduction: The foramen magnum is an important component of the craniovertebral junction's interplay of bony, ligamentous, and muscular tissues. Multivariate discriminant function analysis was used to analyse all of the variables. This multivariate analysis is concerned with the challenge of allocating individual values to a specific group, which is based on the sum of a number of variable characteristics of an individual, with all characters given equal weightage.
Methods: The study sample consisted of 200 south Indian skull bones (105 males and 95 females). The sex differences between the skull bones were investigated using multivariate discriminant function analysis. The multivariate linear discriminant function works on the idea that sex is a dependent variable and measured variables are independent variables.
The results showed that 95 male skull bones were accurately sexed and 84 female skull bones were correctly sexed out of 105. Only 179 skull bones out of 200 were correctly sexed. So 90 percent of male skull bones were accurately sexed, whereas 88 percent of female skull bones were correctly sexed. With all of the variables taken into account, 90 percent of skull bones were correctly sexed.
Conclusion: When normal statistical methods and multivariate analysis results were compared, it was evident that multivariate analysis was far superior in terms of both reliability and accuracy. As a result, with limited resources, multivariate analysis is the best way for determining the sex of skull bones.Author(S) Details
S. P. Vinutha
JSS Medical College, JSSAHER, Mysuru, Karnataka, India.
R. Shubha
Kempegowda Institute of Medical Sciences, Bengaluru, Karnataka, India.
View Book:- https://stm.bookpi.org/IDMMR-V4/article/view/5542
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