Sentence examples for focused clusters from inspiring English sources

A frequentist approach based on maximum likelihood estimation (MLE) has been recently used to identify potential focused clusters as well.

If not readjusted, the maximum focus range will be exceeded during sequencing and incorrectly focused clusters will result.

This paper is centered around the focused cluster detection methods.

The CSS, FSS, BYM, and MLE spatial focused cluster detection methods are outlined in the Appendix.

We also might wish to ask whether exposure traces for the cases exhibit focused clustering.

The CSS, FSS, BYM, and MLE spatial focused cluster detection methods are outlined below.

The first evaluated focused clustering of residential histories using k = 5 nearest neighbors.

Focused cluster detection methods identify regions with a high number of disease occurrences in an area around a potential cause (i.e., a toxic waste site) [ 13, 14].

We then develop a suite of novel tests for evaluating local, global and focused clustering in residential histories using case-control data.

Finally, we illustrate several of the new techniques by quantifying local, global and focused clustering of residential histories in a case-control study of bladder cancer in Michigan.

Focused cluster detection methods include the circular spatial scan statistic (CSS) [ 18], flexible spatial scan statistic (FSS) [ 19], and Bayesian disease mapping (BYM) [ 15].