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Table 1 Summary of simulation results

From: Detection of influenza-like illness aberrations by directly monitoring Pearson residuals of fitted negative binomial regression models

Signal to noise Evaluation measure Methods
SPR with thresholdz1 − 0.025 SPR with thresholdz1 − 0.005 CUSUM with pearson residuals CUSUM with observations
θ = 5 Mean days to detection 0.5 0.8 1.9 6.1
Non-detection probability 0.0 0.0 0.013 0.082
Mean false alarm rate 3.4% 1.0% 5.2% 5.2%
θ = 3 Mean days to detection 1.3 2.7 4.7 11.7
Non-detection probability 0.0 0.0 0.105 0.158
Mean false alarm rate 3.6% 1.1% 5.2% 5.2%
θ = 1 Mean days to detection 6.6 12.6 11.9 19.2
Non-detection probability 0.004 0.120 0.373 0.178
Mean false alarm rate 3.9% 1.2% 5.1% 5.3%
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