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Table 4 The average sensitivity and PPV (standard deviation in parentheses) over 100 iterations for each data type used for spatial cluster detection under six simulation scenarios

From: A simulation study for geographic cluster detection analysis on population-based health survey data using spatial scan statistics

Type of data

Individual-level data

Aggregate-level data

Frequency

Weighted frequency

Crude rate

Scenario 1 [true cluster (A) + sampling proportion (1)]

 Sensitivity

0.9214 (0.0425)

0.9381 (0.0536)

0.9435 (0.0055)

 PPV

0.8071 (0.1312)

0.1966 (0.0187)

0.9980 (0.0200)

Scenario 2 [true cluster (A) + sampling proportion (2)]

 Sensitivity

0.9320 (0.0406)

0.9286 (0.0607)

0.9440 (0.0000)

 PPV

0.7861 (0.1255)

0.1889 (0.0163)

0.9937 (0.0251)

Scenario 3 [true cluster (A) + sampling proportion (3)]

 Sensitivity

0.9203 (0.0379)

0.9280 (0.0549)

0.9435 (0.0055)

 PPV

0.7999 (0.1186)

0.1852 (0.0193)

0.9994 (0.0059)

Scenario 4 [true cluster (B) + sampling proportion (1)]

 Sensitivity

0.9163 (0.0350)

0.9378 (0.0402)

0.9192 (0.0218)

 PPV

0.8734 (0.0752)

0.3865 (0.0370)

0.9797 (0.0240)

Scenario 5 [true cluster (B) + sampling proportion (2)]

 Sensitivity

0.9203 (0.0299)

0.9151 (0.0479)

0.9189 (0.0202)

 PPV

0.8749 (0.0766)

0.3640 (0.0419)

0.9795 (0.0221)

Scenario 6 [true cluster (B) + sampling proportion (3)]

 Sensitivity

0.9183 (0.0339)

0.9244 (0.0476)

0.9286 (0.0252)

 PPV

0.8678 (0.0765)

0.3509 (0.0379)

0.9708 (0.0255)

  1. The largest values of average sensitivity and PPV for each scenario are in bold