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Table 5 Illustrative examples of FIS and SCDS BNT results corrected for information bias.

From: Estimating uncertainty in observational studies of associations between continuous variables: example of methylmercury and neuropsychological testing in children

Scenario

Proportion misclassified

Magnitude of misclassification

Regression slope

 

Ph

Ph

al

a2

Observed

Corrected

FIS

      

Scenario 1

30%

10%

0.30

0.40

-0.019

-0.069

Scenario 2

10%

30%

0.30

0.40

-0.019

0.071

Scenario 3

10%

10%

0.30

0.40

-0.019

-0.009

Scenario 4

30%

30%

0.30

0.40

-0.019

0.011

Scenario 5

30%

10%

0.10

0.20

-0.019

-0.029

Scenario 6

10%

30%

0.10

0.20

-0.019

0.031

Scenario 7

10%

10%

0.10

0.20

-0.019

-0.009

Scenario 8

30%

30%

0.10

0.20

-0.019

0.011

SCDS

      

Scenario 1

30%

10%

0.30

0.40

-0.012

-0.062

Scenario 2

10%

30%

0.30

0.40

-0.012

0.078

Scenario 3

10%

10%

0.30

0.40

-0.012

-0.002

Scenario 4

30%

30%

0.30

0.40

-0.012

0.018

Scenario 5

30%

10%

0.10

0.20

-0.012

-0.022

Scenario 6

10%

30%

0.10

0.20

-0.012

0.038

Scenario 7

10%

10%

0.10

0.20

-0.012

-0.002

Scenario 8

30%

30%

0.10

0.20

-0.012

0.018

  1. Ph = proportion of exposed subjects whose observed BNT scores: Yobs = Y + (X-)a1 result in a positive shift in the slope
  2. P'h = proportion of exposed subjects whose observed BNT scores: Yobs = Y - (X-)a2 result in a negative shift in the slope
  3. a1 = relative magnitude of misclassification (positive)
  4. a2 = relative magnitude of misclassification (negative)