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Table 3 Best method with respect to sensitivity, precision and kappa for each combination of intensity and type of error

From: New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data

Sensitivity

 

Type a

Type b

Type c

ALL

SD

Method

Sensitivity

Method

Sensitivity

Method

Sensitivity

Method

Sensitivity

0.5

MMOM

7.66%

MMOM

11.22%

MMOM

11.17%

MMOM

8.87%

1

MMOM

16.46%

MMOM

22.41%

MMOM

21.88%

MMOM

15.02%

2

MMOM

53.78%

MMOM

56.84%

SMOM

44.89%

MMOM

39.83%

3

MMOM

85.08%

SMOM

84.24%

SMOM

62.27%

MMOM

62.77%

4

MMOM

97.49%

SMOM

95.64%

SMOM

71.58%

MMOM

70.08%

5

MMOM

99.08%

SMOM

99.68%

SMOM

79.22%

SMOM

78.09%

Precision

 

Type a

Type b

Type c

ALL

SD

Method

Precision

Method

Precision

Method

Precision

Method

Precision

0.5

mBIV

17.29%

mBIV

25.13%

mBIV

18.15%

sBIV

35.00%

1

mBIV

32.21%

mBIV

52.02%

mBIV

75.18%

mBIV

85.77%

2

mBIV

86.19%

mBIV

93.42%

mBIV

94.10%

mBIV

96.78%

3

mBIV

95.71%

mBIV

97.83%

mBIV

97.26%

mBIV

98.52%

4

mBIV

97.89%

mBIV

99.00%

mBIV

98.49%

mBIV

99.29%

5

mBIV

98.94%

mBIV

99.44%

mBIV

99.05%

mBIV

99.58%

Kappa

 

Type a

Type b

Type c

ALL

SD

Method

Kappa

Method

Kappa

Method

Kappa

Method

Kappa

0.5

MMOM

0.032371

MMOM

0.077747

MMOM

0.077343

MMOM

0.00075066

1

MMOM

0.110746

MMOM

0.199737

MMOM

0.193746

MMOM

0.17241

2

MMOM

0.406851

MMOM

0.530886

SMOM

0.43264

MMOM

0.391957

3

MMOM

0.676109

SMOM

0.767761

SMOM

0.621228

SMOM

0.550216

4

SMOM

0.751824

SMOM

0.879063

SMOM

0.728476

SMOM

0.659092

5

SMOM

0.866256

sBIV

0.967156

SMOM

0.810343

sBIV

0.767412

  1. Abbreviations: SD Standard deviation, mBIV Modified method for biologically implausible values detection, sBIV Static WHO cut-off values for biologically implausible values detection method, MMOM Multi-model outlier measurement detection method, SMOM Single-model outlier measurement detection method