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Table 5 Comparison of model selection in terms of spatial recall

From: Spatial cluster detection using dynamic programming

Frequency range Coverage DP recall GR recall SR recall (DP-GR) 95% confidenceinterval limits p-value
Low < 16% 0.08729 0.09759 0.04993 - 0.01031 - 0.01029 < 0.00001
  16-34% 0.13665 0.14801 0.10795 - 0.01137 - 0.01135 < 0.00001
  ≥ 35% 0.18579 0.19636 0.17592 - 0.01060 - 0.01055 < 0.00001
Mid < 16% 0.39280 0.38533 0.11793 0.00745 0.00749 < 0.00001
  16-34% 0.56118 0.55025 0.24091 0.01092 0.01095 < 0.00001
  ≥ 35% 0.74869 0.75813 0.42978 - 0.00956 - 0.00932 < 0.00001
High < 16% 0.62454 0.60666 0.13601 0.01786 0.01789 < 0.00001
  16-34% 0.82999 0.82147 0.29433 0.00850 0.00852 < 0.00001
  ≥ 35% 0.91850 0.91130 0.50550 0.00716 0.00724 < 0.00001
Very high < 16% 0.93248 0.92970 0.24123 0.00277 0.00278 < 0.00001
  16-34% 0.99829 0.99809 0.62275 0.00020 0.00020 < 0.00001
  ≥ 35% 0.99813 0.99815 0.74743 - 0.00002 - 0.00001 < 0.00001
  1. Comparison of the DP, GR, and SR spatial recall obtained from model selection. The table shows the mean recall for each algorithm, the lower and upper 95% confidence limits for the difference in recall (DP-GR) and the associated t-test p-values