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Second-order analysis of space-time disease clustering

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published
<mark>Journal publication date</mark>06/1995
<mark>Journal</mark>Statistical Methods in Medical Research
Issue number2
Volume4
Number of pages13
Pages (from-to)124-136
Publication StatusPublished
<mark>Original language</mark>English

Abstract

We consider the problem of detecting and describing space-time interaction in point process data. We extend existing second-order methods for purely spatial point process data to the spatial-temporal setting. This extension allows us to estimate space-time interaction as a function of spatial and temporal separation, and provides a useful reinterpretation of a popular test, due to Knox, for space-time interaction. Applications to simulated and real data indicate the method's potential.