The effectiveness of logistic regression equations for solving problems of determining the sex of a person by odontometric parameters
Author(s): Shakir M Musayev, Zaur M Kerimov, Anar Sh Ibragimov and Namik N Orudjov
Abstract: New methods of personal identification based on bone remains are always of interest to researchers. The new method proposed by us for rapid determination of sex by teeth is also likely to be in demand, since it should increase the efficiency of the work of forensic experts.The purpose of this study was to develop modern methods for diagnosing human sex using odontometric studies.At the craniological collection of Azerbaijanis, the sizes of teeth were studied. On 7 teeth of the upper and 7 teeth of the lower jaw, 3 parameters were measured (in this case, symmetrical teeth were considered as a single array). Each of the 14 anatomical teeth was represented by 1120 male and 1120 female teeth. For odontometric procedures, a Mutitouyo digital caliper (accuracy 10 microns) was used. The results of odontometry were analyzed by statistical methods using ROC analysis. Mathematical modeling was carried out using the MATLAB statistical software package.With the help of ROC-analysis, the data obtained during odontometry were considered. 6 odontometric signs were established, which are interconnected with gender. The most correlated with gender were the bucco-lingual diameter of the upper canine, as well as the heights of the crowns – the second lower molar, lower incisors, lower canine and upper medial incisor. Using mathematical modeling, we have developed 6 logistic regression equations that can be used to determine the gender of a person by the size of his teeth. The predictive potential of the equations was also evaluated using ROC analysis procedures.As a result of the study, based on odontometric indicators and by using ROC analysis, diagnostic equations were obtained to determine the sex of a person by the size of the teeth. The authors have not yet tested the effectiveness of the equations on independent samples of skulls, so they cannot yet be unconditionally recommended for practice. However, they count on the high legitimacy of their own models, because they used a fairly powerful mathematical apparatus.
DOI: 10.33545/27074447.2022.v4.i1a.48Pages: 01-07 | Views: 640 | Downloads: 263Download Full Article: Click HereHow to cite this article:
Shakir M Musayev, Zaur M Kerimov, Anar Sh Ibragimov, Namik N Orudjov.
The effectiveness of logistic regression equations for solving problems of determining the sex of a person by odontometric parameters. Int J Forensic Med 2022;4(2):01-07. DOI:
10.33545/27074447.2022.v4.i1a.48
