Fig. 2From: Bias in logistic regression due to imperfect diagnostic test results and practical correction approachesThe Bayesian models outperformed the standard logistic regression model based on the MSE criterion. Mean squared error (MSE) for four different methods are shown for different scenarios of sensitivity (SN) and specificity (SP) [SN = 0.6 and SP = 0.9 (upper left panel); SN = 0.9 and SP = 0.9 (upper right panel); SN = 0.6 and SP = 0.98 (lower left panel); SN = 0.9 and SP = 0.98 (lower right panel)]. These results are based on 100 simulated datasets, with 2000 individuals in each dataset. Smaller values indicate better performanceBack to article page