Table 7 The mean and middle 95% (2.5% quantile, 97.5% quantile) of the accuracy of the test as measured by the proportion of testing dataset observations correctly predicted when targeting a specificity of 0.95. The method(s) with highest accuracy in each scenario or equivalent after rounding are bolded

Prevalence=0.05

     Empirical

0.93

(0.86, 0.97)

0.94

(0.91, 0.97)

0.94

(0.86, 0.99)

0.95

(0.91, 0.98)

     Normal

0.93

(0.87, 0.97)

0.94

(0.90, 0.96)

0.94

(0.85, 0.99)

0.96

(0.90, 0.99)

     Log Normal

0.93

(0.87, 0.96)

0.93

(0.90, 0.96)

0.93

(0.84, 0.98)

0.93

(0.89, 0.97)

     MAD

0.85

(0.76, 0.92)

0.86

(0.81, 0.90)

0.80

(0.72, 0.88)

0.81

(0.76, 0.85)

     Log MAD

0.89

(0.81, 0.95)

0.90

(0.86, 0.94)

0.85

(0.75, 0.94)

0.85

(0.79, 0.90)

     Pareto 0.9

0.94

(0.88, 0.97)

0.95

(0.91, 0.97)

0.95

(0.87, 0.99)

0.97

(0.93, 0.99)

     Hybrid Empirical

0.93

(0.86, 0.97)

0.94

(0.91, 0.97)

0.94

(0.85, 0.99)

0.95

(0.91, 0.98)

     Hybrid Pareto 0.9

0.94

(0.88, 0.97)

0.95

(0.91, 0.97)

0.95

(0.86, 0.99)

0.97

(0.93, 0.99)

Prevalence=0.30

     Empirical

0.93

(0.84, 0.96)

0.94

(0.88, 0.96)

0.95

(0.89, 0.99)

0.96

(0.93, 0.98)

     Normal

0.93

(0.88, 0.96)

0.94

(0.92, 0.96)

0.95

(0.88, 0.99)

0.97

(0.92, 0.99)

     Log Normal

0.94

(0.90, 0.96)

0.94

(0.92, 0.96)

0.94

(0.88, 0.98)

0.95

(0.91, 0.98)

     MAD

0.89

(0.82, 0.94)

0.89

(0.86, 0.93)

0.86

(0.79, 0.91)

0.86

(0.82, 0.89)

     Log MAD

0.92

(0.86, 0.96)

0.92

(0.89, 0.95)

0.89

(0.82, 0.95)

0.89

(0.84, 0.93)

     Pareto 0.9

0.93

(0.85, 0.96)

0.94

(0.90, 0.96)

0.96

(0.90, 0.99)

0.97

(0.94, 0.99)

     Hybrid Empirical

0.93

(0.84, 0.96)

0.94

(0.88, 0.96)

0.95

(0.89, 0.99)

0.96

(0.93, 0.98)

     Hybrid Pareto 0.9

0.93

(0.85, 0.96)

0.94

(0.90, 0.96)

0.96

(0.90, 0.99)

0.97

(0.94, 0.99)