Hypothesis Testing Method | Abbreviation | Description | Significance Cutoff |
---|---|---|---|
Conditional Permutation Test | CPT | Select optimal span size for observed data by minimizing AIC statistic across range of spans. Compare difference in deviance statistic to conditional permutation distribution obtained by holding span size constant. | 0.025 |
Fixed Span Permutation Test | FSPT | Select span size a priori. Compare difference in deviance statistic to conditional permutation distribution obtained by holding span size constant. | 0.05 |
Fixed Multiple Span Permutation Test | FMSPT | Select 3-5 span sizes a priori. For each span size, compare the difference in deviance statistic to corresponding conditional permutation distribution obtained by holding the span size constant. Reject the null hypothesis if at least one p-value falls below the significance cutoff. |
|
Unconditional Permutation Test | UPT | Select optimal span size for observed data as in CPT. Compare difference in deviance statistic to unconditional permutation distribution obtained by selecting optimal span size for each permuted dataset. | 0.05 |
Spatial Scan Statistic | --- | Detects the most likely cluster through a likelihood ratio test comparing the likelihood of cases within to outside a circular zone of interest. P-values are obtained through Monte Carlo methods | 0.05 |