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Table 2 Power of the test statistics for the hot spot clusters.

From: Power evaluation of disease clustering tests

   Besag-Newell's R Cuzick-Edwards' k-NN Spatial Scan Statistic Tango's MEET Swartz' Entropy Test Moran's Whittemore's Test
   k = 6 12 30 100K 500K 1000K     I I mod  
Rural (edge) 1 0.707 0.388 0.089 0.752 0.168 0.038 0.998 0.196 0.939 0.000 0.315 0.010
  2 0.792 0.466 0.074 0.810 0.199 0.049 0.991 0.221 0.804 0.743 0.793 0.006
  4 0.839 0.754 0.239 0.874 0.425 0.109 0.973 0.229 0.607 0.449 0.505 0.004
  8 0.830 0.854 0.309 0.851 0.540 0.157 0.971 0.213 0.639 0.752 0.814 0.002
  16 0.821 0.880 0.505 0.758 0.621 0.247 0.969 0.229 0.706 0.715 0.806 0.004
Mixed (corner) 1 0.037 0.023 0.983 0.648 0.919 0.899 0.936 0.925 0.270 0.053 0.045 0.000
  2 0.129 0.024 0.989 0.655 0.886 0.913 0.939 0.896 0.289 0.059 0.051 0.000
  4 0.157 0.095 0.980 0.645 0.822 0.931 0.937 0.838 0.269 0.078 0.061 0.000
  8 0.217 0.222 0.956 0.608 0.777 0.903 0.941 0.817 0.291 0.130 0.099 0.000
  16 0.293 0.284 0.914 0.598 0.715 0.838 0.949 0.832 0.354 0.193 0.165 0.000
Urban (central) 1 0.037 0.027 0.952 0.627 0.856 0.893 0.922 0.941 0.264 0.049 0.045 0.296
  2 0.033 0.214 0.819 0.587 0.786 0.937 0.903 0.920 0.245 0.056 0.049 0.334
  4 0.026 0.049 0.190 0.378 0.684 0.864 0.892 0.961 0.119 0.052 0.043 0.579
  8 0.022 0.022 0.459 0.292 0.637 0.817 0.913 0.983 0.078 0.061 0.043 0.758
  16 0.015 0.059 0.368 0.257 0.648 0.795 0.926 0.986 0.047 0.069 0.045 0.887
Rural and Mixed 1 0.624 0.270 0.981 0.956 0.943 0.860 1.000 0.964 0.975 0.000 0.310 0.000
  2 0.803 0.356 0.987 0.969 0.926 0.891 0.999 0.952 0.923 0.727 0.780 0.000
  4 0.841 0.739 0.983 0.977 0.930 0.929 0.997 0.930 0.813 0.460 0.508 0.000
  8 0.867 0.906 0.972 0.973 0.939 0.916 0.996 0.931 0.849 0.767 0.823 0.000
  16 0.857 0.938 0.970 0.949 0.939 0.891 0.996 0.941 0.914 0.729 0.810 0.000
Mixed and Urban 1 0.020 0.012 0.999 0.929 0.997 0.998 0.987 0.998 0.545 0.049 0.041 0.009
  2 0.084 0.132 0.995 0.918 0.990 0.998 0.984 0.995 0.499 0.057 0.045 0.012
  4 0.082 0.069 0.946 0.807 0.962 0.996 0.966 0.991 0.303 0.080 0.048 0.034
  8 0.107 0.114 0.915 0.710 0.935 0.987 0.954 0.990 0.222 0.136 0.073 0.070
  16 0.120 0.167 0.803 0.616 0.897 0.969 0.935 0.984 0.199 0.212 0.135 0.138
Rural and Urban 1 0.619 0.272 0.954 0.949 0.902 0.868 1.000 0.970 0.974 0.000 0.309 0.096
  2 0.709 0.665 0.823 0.955 0.854 0.919 0.999 0.962 0.909 0.712 0.771 0.097
  4 0.731 0.644 0.261 0.947 0.863 0.855 0.992 0.971 0.671 0.436 0.472 0.206
  8 0.676 0.689 0.546 0.911 0.879 0.826 0.991 0.977 0.602 0.726 0.770 0.365
  16 0.591 0.725 0.521 0.803 0.892 0.834 0.987 0.975 0.561 0.659 0.726 0.562
Rural, Mixed and Urban 1 0.541 0.185 0.998 0.992 0.998 0.994 1.000 0.999 0.991 0.000 0.291 0.002
  2 0.735 0.565 0.993 0.994 0.994 0.997 1.000 0.998 0.960 0.697 0.755 0.001
  4 0.735 0.611 0.949 0.987 0.984 0.995 0.996 0.994 0.799 0.433 0.456 0.003
  8 0.728 0.759 0.922 0.972 0.980 0.984 0.992 0.989 0.759 0.730 0.769 0.007
  16 0.642 0.766 0.840 0.909 0.962 0.962 0.977 0.983 0.744 0.672 0.737 0.023