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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)
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Epidemiologic Perspectives & Innovations

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