Estimation of sex based on the sterna of Sudanese adults using multidetector computed tomography: a comparison of discriminant function analysis and binary logistic regression.

Sex estimation is critical during forensic and anthropological investigations, and various techniques are used based on the presence of complete or fragmented human remains. This study evaluated sexual dimorphism in Sudanese sterna using multidetector computed tomography. This information was used to develop models for estimating sex, and to compare the accuracies of models based on discriminant function analysis (DFA) and binary logistic regression (BLR).