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Table 1 Bias, RMSE, and Coverage Probability of 95% Credible Interval of the BSM, NNT, CC, and MI method, When Sensitivity Parameter is Set to True Value

From: Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis

   

Low-Low

Low-High

High-Low

High-High

BSM

Bias*1000

b 1

3.19

4.14

1.91

2.88

b 2

12.94

4.81

2.60

1.88

RMSE*1000

b 1

192.51

163.04

94.14

66.59

b 2

75.19

54.64

40.47

28.12

Coverage Probability

b 1

96.0%

97.0%

97.0%

97.5%

b 2

88.0%

94.5%

88.5%

91.0%

NNT

Bias*1000

b 1

−309.37

−101.24

−857.09

−331.60

b 2

136.93

56.88

30.70

34.85

RMSE*1000

b 1

362.4

190.85

860.28

338.08

b 2

151.02

77.23

41.93

42.98

Coverage Probability

b 1

63.0%

95.0%

0%

0%

b 2

43.5%

86.0%

81.0%

73.5%

CC

Bias*1000

b 1

89.30

43.30

113.73

77.02

b 2

−38.4

−24.67

−51.17

−37.12

RMSE*1000

b 1

212.04

167.71

148.09

101.61

b 2

81.55

60.70

64.04

45.83

Coverage Probability

b 1

93.0%

96.0%

76.5%

83.5%

b 2

89.5%

91.5%

68.5%

74.5%

MI

Bias*1000

b 1

97.01

43.23

115.96

79.41

b 2

−43.32

−25.72

−51.34

−35.10

RMSE*1000

b 1

221.17

168.02

150.53

103.85

b 2

84.14

61.07

64.81

44.29

Coverage Probability

b 1

92.5%

97.0%

76.0%

82.0%

b 2

88.0%

92.5%

71.5%

76.0%

  1. *denotes "multiplied by"
  2. BSM Bayesian selection model, NNT Negative for not tested, CC Complete-case analysis, MI Multiple imputation