Table 4.
Concentration of risk of observed post-traumatic stress disorder (PTSD) in the top 5th percentile of predicted PTSD, total sample and stratified by subgroups (n = 378)a
| Sensitivityb
|
Positive predictive valuec
|
|||
|---|---|---|---|---|
| % PTSD | (S.E.) | % PTSD | (S.E.) | |
| Total | 44.5 | (18.0) | 20.4 | (9.5) |
| Age | ||||
| 25+ years | 34.0 | (13.6) | 11.8 | (1.3) |
| <25 years | 52.9 | (26.3) | 32.4 | (20.7) |
| Gender | ||||
| Male | 56.4 | (24.3) | 29.4 | (19.6) |
| Female | 27.9 | (23.8) | 10.9 | (8.8) |
| Education | ||||
| High or high-average | 50.3 | (20.3) | 39.5 | (16.4) |
| Low or low-average | 22.4 | (14.9) | 3.9 | (0.5) |
Based on weighted data pooled across the six surveys in high-income countries. See Table note a in Table 2 for a description of the weighting. Ten-fold cross-validation involves dividing the sample into 10 separate random subsamples of equal size, estimating the model in each of the 10 separate 90% subsamples created by deleting one of the 10 subsamples, and applying predicted values based on each set of coefficients only to the remaining 10% of the sample. Replicated cross-validation involves repeating the cross-validation process some number of times (20 times in the current application), with a different random split of the sample into 10 equal-sized subsamples each time. Sensitivity and positive predictive value were calculated separately in each of these 200 subsamples and averaged to produce the results reported here.
Sensitivity = proportion of all PTSD found among the 5% of respondents with highest predicted probabilities based on the final model.
Positive predictive value = prevalence of PTSD among respondents in the row who are among the 5% in the total sample with the highest predicted probabilities based on the final model.