5.7 Assignment for Unit 5

The detection of clusters in health data can help in understanding disease causality and risk. However, many of the techniques used to detect clusters were developed relatively recently. Examples of new techniques developed in the last 10-15 years include as empirical Bayes estimation and some of the local autocorrelation measures such as the local Moran’s I statistic. It is thus useful to understand how far these methodological developments are currently employed in practice by those analysing health data.

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