Abstract
Abstract A semi-parametric density ratio testing method which borrows strength from two or more samples is applied to moving windows of variable size in cluster detection. The method requires neither the prior knowledge of the underlying distribution nor the number of cases before scanning. A Monte Carlo power study shows that given a cluster candidate, under certain conditions the semi-parametric density ratio method achieves a relatively higher power than the power achieved by Kulldorff's celebrated scan statistics method and by a certain focused test in testing the hypothesis of no cluster. The semi-parametric method potential in cluster detection is illustrated using both simulated and real spatial data.
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