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Table 2 Prognostic characteristics of the episodes model at external validation

From: External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up

Cut off probability

N

sensa

specb

PPVc

NPVd

≥10%

251

0.79

0.62

0.22

0.96

≥20%

139

0.59

0.81

0.29

0.94

≥30%

85

0.38

0.89

0.31

0.91

≥40%

60

0.28

0.92

0.32

0.91

≥50%

33

0.22

0.97

0.45

0.91

≥60%

20

0.13

0.98

0.45

0.90

≥70%

9

0.09

0.99

0.67

0.89

≥80%

8

0.09

1.00

0.75

0.89

≥90%

4

0.04

1.00

0.75

0.88

  1. a sensitivity; b specificity; c positive predictive value; d negative predictive value.
  2. The table shows the prognostic characteristics for each cut-off SA probability of the model identifying office workers (N = 593) with high SA episodes at external validation with fixed coefficients.