Table 2 Regression parameters and predictive performance of the Mercy method (overall and by rater) and the other comparator weight estimation methods

0.06 ± 2.58

0.38 ± 1.69

-0.85 ± 2.59

1.80 ± 2.15

-0.46 ± 2.86

4.36 ± 5.27

1.61 ± 5.48

1.50 ± 2.00

4.10 ± 5.30

[-12.8,9.7]

[-3.0,8.6]

[-9.0,9.3]

[-3.6,9.7]

[-12.8,5.7]

[-26.8,17.4]

[-30.2,22.4]

[-6.4,8.9]

[-24.8,18.7]

1.6 ± 9.3

1.8 ± 7.9

-1.1 ± 9.2

7.3 ± 8.2

0.4 ± 9.2

23.6 ± 21.4

9.6 ± 18.0

8.2 ± 10.4

19.8 ± 21.6

[-22.2,34.3]

[-19.2,22.0]

[-19.7,34.3]

[-7.7,30.0]

[-22.2,26.1]

[-38.4,89.9]

[-49.9,89.0]

[-28.6,44.3]

[-37.4,88.5]

2.58

1.73

2.72

2.80

2.88

7.07

5.71

2.49

6.70

0.992

0.993

0.991

0.989

0.993

0.865

0.956

0.976

0.891

71.5%

77.5%

71.5%

67.0%

69.2%

15.0%

40.8%

41.2%

23.5%

96.7

98.0

97.5

93.4

96.9

28.1

68.7

67.4

40.4

99.9

100

99.5

100

100

39.3

82.2

75.1

54.6