Skip to main content

Table 3 Summary measures of estimated \(h\left(Z\right)\)with BKMR and each LOD accommodation approach compared to using full dataset

From: Accommodating detection limits of multiple exposures in environmental mixture analyses: an overview of statistical approaches

LOD accommodation

Moderate correlation (\(\boldsymbol\sigma\boldsymbol=\mathbf1\boldsymbol/\mathbf2\))

High correlation (\(\boldsymbol\sigma\boldsymbol=\mathbf1\boldsymbol/\mathbf8\))

Intercept

Slope

\(\boldsymbol R^{\mathbf2}\)

SE

Intercept

Slope

\(\boldsymbol R^{\mathbf2}\)

SE

Scenario 1

 Complete case

0.07

0.91

0.83

0.42

0.58

0.68

0.56

0.21

 LOD/\(\sqrt{2}\)

0.11

0.94

0.96

0.28

0.44

0.77

0.75

0.16

 MI

0.23

0.88

0.87

0.30

-0.23

1.14

0.81

0.18

 Truncated MI

0.05

0.98

0.95

0.32

-0.21

1.13

0.85

0.18

 F-AFT

0.08

0.97

0.96

0.28

0.12

0.95

0.82

0.16

Scenario 2A

 Complete case

0.54

0.68

0.70

0.37

0.79

0.57

0.51

0.20

 LOD/\(\sqrt{2}\)

0.47

0.72

0.82

0.25

0.50

0.74

0.73

0.16

 MI

0.47

0.72

0.79

0.27

0.23

0.89

0.73

0.17

 Truncated MI

0.45

0.72

0.81

0.27

0.28

0.86

0.75

0.17

 F-AFT

0.47

0.72

0.82

0.25

0.39

0.80

0.77

0.15

Scenario 2B

 Complete case

0.31

0.79

0.78

0.40

0.80

0.55

0.48

0.21

 LOD/\(\sqrt{2}\)

0.31

0.81

0.89

0.27

0.55

0.71

0.71

0.16

 MI

0.31

0.82

0.87

0.29

0.23

0.88

0.72

0.18

 Truncated MI

0.29

0.82

0.88

0.29

0.29

0.85

0.74

0.18

 F-AFT

0.31

0.82

0.89

0.27

0.45

0.77

0.75

0.16

Scenario 3

 Complete case

0.29

0.87

0.81

0.43

0.36

0.80

0.70

0.50

 LOD/\(\sqrt{2}\)

0.05

0.98

0.95

0.31

0.07

0.98

0.95

0.30

 MI

0.30

0.84

0.83

0.33

0.33

0.83

0.81

0.33

 Truncated MI

0.00

1.03

0.92

0.36

0.01

1.04

0.91

0.36

 F-AFT

0.04

1.01

0.95

0.31

0.06

1.01

0.95

0.31

Scenario 4

 Complete case

0.18

0.89

0.82

0.43

0.24

0.82

0.72

0.50

 LOD/\(\sqrt{2}\)

0.05

0.98

0.96

0.28

0.05

0.98

0.96

0.28

 MI

0.21

0.89

0.88

0.30

0.24

0.88

0.86

0.30

 Truncated MI

-0.01

1.02

0.95

0.32

-0.01

1.02

0.94

0.32

 F-AFT

0.03

1.01

0.97

0.28

0.03

1.01

0.96

0.28

  1. Summary measures were obtained by regressing the estimated\(\widehat{h}\)of each LOD-accommodation approach on\(\widehat{h}\)using full datasets, and reported average intercept, slope, and\({R}^{2}\)across simulation iterations. Zero intercept and 1 of slope indicate LOD accommodation approach does not influence BKMR results. “SE” denotes the posterior standard deviation of the\(\widehat{h}\)
  2. Abbreviations: Imputation by LOD/\(\sqrt{2}\)(LOD/\(\sqrt{2}\)), MI Conventional multiple imputation, Truncated MI Truncated multiple imputation, F-AFT Imputation by estimates using the AFT model