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An Alternative Cluster Detection Test in Spatial Scan Statistics

Author

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  • A. R. Soltani
  • S. M. Aboukhamseen

Abstract

We establish a hypotheses testing procedure equivalent to the Kulldorff (1997) spatial scan hypotheses test for cluster detection, then provide transparent test statistics for cluster detection in a spatial setting. We also specify the limiting distribution of the test statistics. We apply our method to North Carolina sudden infant death syndrome cases; it detects the same primary and secondary clusters as Kulldorff (1997). Simulated data is used to compare the performance of our method with that of Kulldorff and the findings show that our test is more sensitive and accurate in detecting clusters.

Suggested Citation

  • A. R. Soltani & S. M. Aboukhamseen, 2015. "An Alternative Cluster Detection Test in Spatial Scan Statistics," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(8), pages 1592-1601, April.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:8:p:1592-1601
    DOI: 10.1080/03610926.2013.777740
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    Cited by:

    1. Aboukhamseen, S.M. & Soltani, A.R. & Najafi, M., 2016. "Modelling cluster detection in spatial scan statistics: Formation of a spatial Poisson scanning window and an ADHD case study," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 26-31.
    2. Ali Abolhassani & Marcos O. Prates & Safieh Mahmoodi, 2023. "Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(1), pages 141-162, April.

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