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A pilot inference study for a beta-Bernoulli spatial scan statistic

Read, S., Bath, P.A., Willett, P. and Maheswaran, R. (2012) A pilot inference study for a beta-Bernoulli spatial scan statistic. In: Proceedings of the GIS Research UK 20th Annual Conference. GIS Research UK, April 11th - 13th, 2012, Lancaster, UK. . ISBN 978-1-86220-294-8

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Abstract

The Bernoulli spatial scan statistic is used to detect localised clusters in binary labelled point data, such as that used in spatial or spatio-temporal case/control studies. We test the inferential capability of a recently developed beta-Bernoulli spatial scan statistic, which adds a beta prior to the original statistic. This pilot study, which includes two test scenarios with 6,000 data sets each, suggests a marked increase in power for a given false alert rate. We suggest a more extensive study would be worthwhile to corroborate the findings. We also speculate on an explanation for the observed improvement.

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: GISRUK 2012 proceedings are published by The University of Lancaster in print and electronic form, but are not currently available online. GISRUK kindly allow the original authors to retain copyright of their work. Full bibliographic information (for citation purposes): Read, S., Bath, P.A., Willett, P and Maheswaran, R., 2012. A pilot inference study for a beta-Bernoulli spatial scan statistic. Proceedings of the GIS Research UK 20th Annual Conference (Eds. Duncan Whyatt and Barry Rowlingson). Volume 1 - Presentations, pages 67-71. Published by The University of Lancaster, Lancaster, United Kingdom. ISBN: 978-1-86220-294-8.
Keywords: cluster detection, case control study, spatial scan statistic, beta, Bernoulli
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Section of Public Health (Sheffield)
The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Dr Simon Read
Date Deposited: 16 Aug 2012 09:30
Last Modified: 26 Mar 2014 12:16
Status: Published
Refereed: Yes
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/74463

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