Research Article
Detecting Spatial Clusters via a Mixture of Dirichlet Processes
Table 3
Comparison of approaches for selected simulated settings assuming study effect is known.
| Setting | Approach | Median Num. of Clusters (SD) | Cluster index | Average Sensitivity (SD) | Average Specificity (SD) | Average Accuracy (%) (SD) |
| Normal | DP | 3 (0) | 1 | 1 (0) | 1 (0) | 1 (0) | 2 | 1 (0) | 1 (0) | 3 | 1 (0) | 1 (0) | Mixture | 3 (0) | 1 | 1 (0) | 1 (0) | 1 (0) | 2 | 1 (0) | 1 (0) | 3 | 1 (0) | 1 (0) | Kmeans | 3 (0.6) | 1 | 0.81 (0.36) | 0.93 (0.16) | 0.8 (0.22) | 2 | 0.79 (0.38) | 0.94 (0.15) | 3 | 0.79 (0.25) | 1 (0) |
| Chi-squared | DP | 16 (1.76) | 1 | 0.99 (0.01) | 0.99 (0.01) | 0.65 (0.01) | 2 | 0.99 (0.01) | 0.97 (0.01) | 3 | 0.14 (0.03) | 1 (0) | Mixture | 1 (0.29) | 1 | 0.06 (0.24) | 0.98 (0.11) | 0.32 (0.1) | 2 | 0.95 (0.22) | 0.06 (0.24) | 3 | 0.05 (0.21) | 1 (0) | Kmeans | 10 (0.22) | 1 | 0.99 (0.06) | 0.98 (0.01) | 0.62 (0.1) | 2 | 0.87 (0.34) | 0.93 (0.03) | 3 | 0.16 (0.06) | 0.94 (0.17) |
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SD: standard deviation across 100 MC replicates. |