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Table 3 Performance of cluster detection methods on one replicated dataset.

From: Detection of clusters of a rare disease over a large territory: performance of cluster detection methods

  Scan-c Scan-e0 FleX GA-1 Double Mlink
p-value < 0.0001 < 0.0001 < 0.0001 < 0.0001 < 0.0001 < 0.0001
No. LZ 18 18 13 13 8 13
True Positive LZ1 10 11 8 9 6 7
Sensitivity2 0.91 1.00 0.73 0.82 0.55 0.64
PPV3 0.56 0.61 0.62 0.69 0.75 0.54
Cost4 9 7 8 6 7 10
  1. Results for the sixth cluster scenario (compact cluster, E = 50.1 cases, covering 11 LZ), with a relative risk of 2.
  2. Results based on 250 Monte Carlo replications. Scan-c: circular scan method, Scan-e 0: elliptic scan method with no penalty, FleX: unrestricted flexible scan method, GA-1: strongly penalized genetic algorithm, Double and Mlink: dynamic minimum spanning tree method with double and maximum link connections, respectively. No. LZ: number of living zones in the detected cluster. 1 number of living zones in the intersection of the true and detected clusters. 2 sensitivity: proportion of living zones in the true cluster that are correctly detected. 3 proportion of living zones in the detected cluster that are in the "true" cluster. 4 number of living zones that are either missed or erroneously detected.