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. 2023 Apr 13;138(1):239–247. doi: 10.1007/s00414-023-02988-1

Table 3.

Overall and age-group-specific logistic regression formulae and associated statistics for sex estimation (0 = male, 1 = female) in the Australian sample

Logistic regression (LR) formula (sex =) 95% CI LR LR
of GSN p-value Pseudo-R2
Total sample without age  − 2.930*GSN + 6.552  − 3.42  < 0.0001 0.5772
to
 − 2.441
Total sample with age  − 3.029*GSN + 0.021*age + 5.679  − 3.535  < 0.0001 0.5892
to
 − 2.523
Total sample with age group  − 3.029*GSN + 0.051*age group 2 + 1.344*age group 3 + 6.448  − 3.54  < 0.0001 0.5959
to
 − 2.518
18–49 years  − 3.824*GSN + 8.078  − 4.965  < 0.0001 0.6562
to
 − 2.682
50–69 years (age group 2)  − 2.446*GSN + 5.226  − 3.128  < 0.0001 0.5111
to
 − 1.764
70 + years (age group 3)  − 3.079*GSN + 7.915  − 4.139  < 0.0001 0.6016
to
 − 2.019