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. 2009 Apr 16;8:20. doi: 10.1186/1476-072X-8-20

Table 5.

Detection power with and without randomization testing

method ED dataset TH dataset CC dataset AF dataset
KULL MA 3.23/3.23 4.41/4.23 5.40/2.55 4.52/3.19
KULL MA-DOW 3.45/3.04 4.95/4.09 3.73/2.26 3.65/2.80
KULL MA-WK 3.31/3.23 5.26/4.23 6.04/2.55 5.30/3.19
KULL MA-WK-DOW 3.19/3.04 5.20/4.09 3.57/2.26 3.99/2.80
EBP MA 2.54/2.50 3.95/3.29 6.36/4.16 5.89/3.99
EBP MA-DOW 2.65/2.53 3.51/3.44 4.59/4.10 5.62/4.36
EBP MA-WK 2.74/2.50 5.04/3.40 5.84/2.70 5.11/3.92
EBP MA-WK-DOW 2.92/2.59 4.31/3.75 5.05/2.47 5.30/4.00
EBG MA 4.50/2.91 5.90/4.19 4.94/4.43 4.92/4.63
EBG MA-DOW 5.48/3.01 5.15/4.66 5.61/4.50 5.00/4.79
EBG MA-WK 4.87/2.87 5.92/4.24 3.82/3.16 4.58/4.43
EBG MA-WK-DOW 5.53/3.04 5.92/4.73 4.90/2.96 4.53/4.56

Average days to detection at 1 false positive per month for "medium-sized" outbreaks injected into each dataset, using empirically determined thresholds on p-value (computed by randomization testing) and score (without randomization testing) respectively. If there is a significant difference between the detection times with and without randomization, the better-performing method is marked in bold.