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. 2019 Jul 31;26(12):1664–1674. doi: 10.1093/jamia/ocz094

Table 3:

Median relative risk and 95% SI from electronic data analysis with outcome misclassification present and following QBA using predictive values in a simulated immunization schedule cohort study

Simulation Scenario Simulated levels of outcome misclassification Mean overall outcome PPV PPV1, PPV0 Mean overall outcome NPV NPV1, NPV0 Median RR(95% SI)
From analysis of electronic data with outcome misclassification present Following QBA using PPV1, PPV0, NPV1, NPV0 Following QBA using PPV1, PPV0, and assuming nondifferential sensitivity
Formula 1 Formula 2 Formula 3
Simulated RR = 2.00
Nondifferential misclassification
1 SN = 95%, SP = 99% 84.6% 91.8%, 84.1% 99.7% 99.4%, 99.7% 1.83 (1.70 - 1.98) 2.00 (1.86 - 2.16) 2.00 (1.85 - 2.17)
2 SN = 90%, SP = 98% 72.2% 84.2%, 71.4% 99.4% 98.8%, 99.4% 1.70 (1.57-1.83) 2.00 (1.86 - 2.16) 2.00 (1.84-2.16)
Differential specificity
3  SN1 = 95%; SN0 = 95% 80.6% 99.7% 3.19 2.00 2.00
SP1 = 90%; SP0 = 99% 52.8%, 84.1% 99.3%, 99.7% (3.01-3.36) (1.86-2.16) (1.85-2.16)
4  SN1 = 95%; SN0 = 95% 73.7% 99.7% 1.58 2.00 2.00
SP1 = 99%; SP0 = 98% 91.8%, 72.6% 99.4%, 99.7% (1.46-1.70) (1.86-2.16) (1.85-2.16)
Differential sensitivity
5  SN1 = 70%; SN0 = 95% 84.4% 99.6% 1.39 2.00 1.47
SP1 = 99%; SP0 = 99% 89.2%, 84.1% 96.6%, 99.7% (1.27-1.51) (1.86-2.16) (1.34-1.61)
6  SN1 = 50%; SN0 = 95% 84.2% 99.5% 1.04 2.00 1.06
SP1 = 99%; SP0 = 99% 85.5%, 84.1% 94.4%, 99.7% (0.94-1.14) (1.86-2.16) (0.95-1.17)
Differential specificity and sensitivity
7  SN1 = 70%; SN0 = 95% 73.3% 99.6% 1.20 2.00 1.47
SP1 = 99%; SP0 = 98% 89.1%, 72.6% 96.5%, 99.7% (1.10-1.30) (1.86-2.16) (1.34-1.61)
8  SN1 = 90%; SN0 = 95% 80.6% 99.7% 3.10 2.00 1.89
SP1 = 90%; SP0 = 99% 51.5%, 84.1% 98.7%, 99.7% (2.93-3.27) (1.86-2.16) (1.74-2.05)
Simulated RR = 0.50
Nondifferential misclassification
1 SN = 95%, SP = 99% 83.8% 72.1%, 84.1% 99.7% 99.9%, 99.7% 0.58 (0.51-0.66) 0.50 (0.43-0.58) 0.50 (0.43-0.58)
2 SN = 90%, SP = 98% 71.1% 55.0%, 71.5% 99.5% 99.7%, 99.4% 0.65 (0.58-0.73) 0.50 (0.43-0.58) 0.50 (0.42-0.58)
Differential specificity
3  SN1 = 95%; SN0 = 95% 79.4% 99.7% 2.05 0.50 0.50
SP1 = 90%; SP0 = 99% 20.5%, 84.1% 99.9%, 99.7% (1.92-2.20) (0.43-0.58) (0.42-0.58)
4  SN1 = 95%; SN0 = 95% 72.5% 99.7% 0.50 0.50 0.50
SP1 = 99%; SP0 = 98% 72.1%, 72.5% 99.9%, 99.7% (0.44-0.58) (0.43-0.58) (0.42-0.58)
Differential sensitivity
5  SN1 = 70%; SN0 = 95% 83.8% 99.7% 0.47 0.50 0.37
SP1 = 99%; SP0 = 99% 65.5%, 84.1% 99.2%, 99.7% (0.40-0.55) (0.43-0.58) (0.30-0.44)
6  SN1 = 50%; SN0 = 95% 83.7% 99.7% 0.39 0.50 0.26
SP1 = 99%; SP0 = 99% 57.5%, 84.1% 98.7%, 99.7% (0.32-0.45) (0.43-0.58) (0.21-0.32)
Differential specificity and sensitivity
7  SN1 = 70%; SN0 = 95% 72.4% 99.7% 0.41 0.50 0.37
SP1 = 99%; SP0 = 98% 65.5%, 72.5% 99.2%, 99.7% (0.35-0.47) (0.43-0.58) (0.31-0.44)
8  SN1 = 90%; SN0 = 95% 79.3% 99.7% 2.03 0.50 0.47
SP1 = 90%; SP0 = 99% 19.7%, 84.1% 99.7%, 99.7% (1.90-2.17) (0.43-0.58) (0.40-0.55)

The 95% SI represents the 2.5th and 97.5th percentiles of the RR from across 1000 replications for each simulated scenario. When the simulated relative risk was 2.00, the 95% simulation interval before applying misclassification was 1.86-2.16. When the simulated relative risk was 0.50, the 95% SI before applying misclassification was 0.43-0.58.

PPV0: positive predictive value among unexposed; PPV1: positive predictive value among exposed; QBA: quantitative bias analysis; SI: simulation interval; SN: overall outcome sensitivity; SN0: outcome sensitivity among unexposed; SN1: outcome sensitivity among exposed; SP: overall outcome specificity; SP0: outcome specificity among unexposed; SP1: outcome specificity among exposed.