Monitoring change in spatial patterns of disease: comparing univariate and multivariate cumulative sum approaches

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Summary

When the degree of spatial autocorrelation is low, the univariate method is generally better at detecting changes in rates that occur in a small number of regions; the multivariate is better when change occurs in a large number of countries.

Type
article
Published
2004-07-30
Cited by
105
References
37

Keywords

Creep, Materials science, Physics, Metallurgy

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