From: How does Poisson kriging compare to the popular BYM model for mapping disease risks?
Estimators | Lung cancer (mean = 21.25) | Cervix cancer (mean = 2.993) | ||
---|---|---|---|---|
Arithmetical average | Average | % best result | Average | % best result |
Global Empirical Bayes | 1.396 | 2 | 0.517 | 0 |
Local Empirical Bayes | 1.380 | 0 | 0.458 | 0 |
BYM model | 1.280 | 6 | 0.426 | 0 |
Point Poisson kriging (adjacent counties) | 1.243 | 30 | 0.400 | 16 |
ATA Poisson kriging (adjacent counties) | 1.246 | 32 | 0.397 | 14 |
ATA Poisson kriging (32 neighbors) | 1.250 | 30 | 0.380 | 70 |
Population-weighted average | Â | Â | Â | Â |
Global Empirical Bayes | 0.972 | 2 | 0.152 | 0 |
Local Empirical Bayes | 0.980 | 2 | 0.145 | 0 |
BYM model | 0.918 | 12 | 0.141 | 4 |
Point Poisson kriging (adjacent counties) | 0.903 | 32 | 0.133 | 18 |
ATA Poisson kriging (adjacent counties) | 0.909 | 24 | 0.132 | 28 |
ATA Poisson kriging (32 neighbors) | 0.911 | 28 | 0.132 | 50 |