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 |