Table 3 Results of the Bayesian model using different priors for RT-PCR specificity and sensitivity for addressing misclassification bias
From: Addressing misclassification bias in vaccine effectiveness studies with an application to Covid-19
Study | Sp/Se | Median (95% PrI) | OR (95% PrI) | VE (95% PrI) |
|---|---|---|---|---|
Perfect classification | Sp | 1.000 | 0.075 (0.057-0.096) | 92.5 (90.4-94.3) |
Se | 1.000 | |||
Kostoulas 2021 | Sp | 0.990 (0.980-1.000) | 0.036 (0.009-0.063) | 96.4 (93.7-99.1) |
Se | 0.680 (0.630-0.730) | |||
Stærk-Østergaard 2021 | Sp | 0.999 (0.999-1.000) | 0.070 (0.050-0.090) | 93.0 (91.0-95.0) |
Se | 0.957 (0.928-0.984) |