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Cuzick and Edwards' test when exact locations are unknown

G M Jacquez1

  • 1BioMedware, Inc., Ann Arbor, MI 48105.

American Journal of Epidemiology
|July 1, 1994
PubMed
Summary

This study introduces a method to analyze spatial clustering using inexact case locations. It provides bounds for a statistical test, enabling its use in real-world investigations where precise geographic data is unavailable.

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Area of Science:

  • Biostatistics
  • Spatial Analysis
  • Epidemiology

Background:

  • The Cuzick and Edwards test is a case-control method for detecting spatial clustering.
  • This test accounts for population density variations and confounders.
  • It requires exact case locations, which are often unavailable in practice.

Purpose of the Study:

  • To adapt the Cuzick and Edwards spatial clustering test for situations with inexact case locations.
  • To address the issue of "ties" arising from area-based case/control assignments.
  • To enable the application of this clustering test in typical public health investigations.

Main Methods:

  • The proposed method calculates upper and lower bounds for the Cuzick and Edwards test statistic when locations are imprecise.
  • It enumerates possible resolutions for "ties" where multiple cases/controls share the same area.
  • Statistical significance is determined by the bounds of the test statistic.

Main Results:

  • The approach provides a feasible way to apply the Cuzick and Edwards test despite inexact location data.
  • It allows for the calculation of bounds on the test statistic, overcoming information loss due to ties.
  • The method distinguishes between significant clustering, no significant clustering, and inconclusive results.

Conclusions:

  • This adaptation allows the Cuzick and Edwards spatial clustering test to be utilized with commonly available, inexact geographic data.
  • The bounds-derived approach ensures the test's applicability in practical epidemiological and public health research.
  • It enhances the utility of spatial statistics in cluster investigations where precise coordinates are not obtainable.

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