Table 5

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

Scenario

Proportion misclassified

Magnitude of misclassification

Regression slope

P_h

P_h

a_l

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

P_h = proportion of exposed subjects whose observed BNT scores: Y_obs = Y + (X-)a₁ result in a positive shift in the slope

P'_h = proportion of exposed subjects whose observed BNT scores: Y_obs = Y - (X-)a₂ result in a negative shift in the slope

a₁ = relative magnitude of misclassification (positive)

a₂ = relative magnitude of misclassification (negative)

Goodman et al. Epidemiologic Perspectives & Innovations 2007 4:9   doi:10.1186/1742-5573-4-9