Skip to main content

Table 8 Comparison of indexes of receiver operation characteristic curve between different models

From: Prevalence and characteristics of suicidal ideation among 2199 elderly inpatients with surgical or medical conditions in Taiwan

Model

â–³AUC

AUC

SEN

SPC

PPV

NPV

Accuracy

Model 4Aa

â–³A-C

0.88

0.83

0.80

0.81

0.83

0.82

Model 4Bb

â–³A-B*

0.79

0.82

0.76

0.77

0.81

0.79

Model 4Cc

â–³B-C*

0.88

0.82

0.82

0.82

0.82

0.82

  1. AUC area under curve, SEN sensitivity, SPC specificity, PPV positive predictive value, NPV negative predictive value
  2. △AUC = difference in AUC between various models
  3. â–³A-B*: significant difference in AUC between Model 4A and Model 4B
  4. (p < 0.00001); △B-C*: the same meaning as that of △A-B* (p < 0.00001); △A-C: no significant difference in AUC between Model 4A and Model 4C (p = 0.785)
  5. aModel 4A
  6. Propensity model:
  7. Y = 0.963*BSRS-5 item 2 + 0.564*BSRS-5 item 4–0.655*BSRS-5 item 5 + 6.285
  8. propensity score = expY/(1 + expY);
  9. For a given individual, if the propensity score > 0.0355, then the model was predictive of suicidal ideation
  10. bModel 4B
  11. BSRS-5 total score greater than 5 coded as 1, otherwise as 0
  12. Propensity model:
  13. Y = 2.72*(BSRS-5 total score greater than 5)-4.911
  14. propensity score = expY/(1 + expY);
  15. For a given individual, if the propensity score > 0.0539, then the model was predictive of suicidal ideation
  16. cModel 4C
  17. Propensity model:
  18. Y = 1.226*BSRS-5 item 1 + 2.337*BSRS-5 item 2 + 1.297*BSRS-5 item 3
  19. + 1.646*BSRS-5 item 4–1.694*BSRS-5 item 5 + 6.374
  20. propensity score = expY/(1 + expY);
  21. For a given individual, if the propensity score > 0.0386, then the model was predictive of suicidal ideation