Control sample design using a geodemographic discriminator: An application of Super Profiles

Peter J.B. Brown, Peter G. McCulloch, Evelyn M.I. Williams and Darren C. Ashurst
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Peter J.B. Brown: Urban Research and Policy Evaluation Regional Research Laboratory (URPERRL-Liverpool), Department of Civic Design, University of Liverpool, 74 Bedford Street South, Liverpool L69 7ZQ, UK (e-mail: pjbbrown@liv.ac.uk)
Peter G. McCulloch: University Hospital Aintree, Longmoor Lane, Liverpool L9 7AL, UK
Evelyn M.I. Williams: Merseyside and Cheshire Cancer Registry, Muspratt Building, University of Liverpool, Liverpool L69 3GB, UK
Darren C. Ashurst: Merseyside and Cheshire Cancer Registry, Muspratt Building, University of Liverpool, Liverpool L69 3GB, UK

Journal of Geographical Systems, 2001, vol. 3, issue 2, 107-135

Abstract: Abstract. The development and application of an innovative sampling framework for use in a British study of the early detection of gastric cancer are described. The Super Profiles geodemographic discriminator is used in the identification of geographically distinct control and contrast areas from which samples of cancer registry case records may be drawn for comparison with the records of patients participating in the gastric cancer intervention project. Preliminary results of the application of the framework are presented and confirm its effectiveness in satisfactorily reflecting known patterns of variation in cancer occurrence by age, gender and social class. The method works well for cancers with a known and clear social gradient, such as lung and breast cancer, moderately well for gastric cancer and somewhat less well for oesophageal cancer, where the social class gradient is less clear.

Keywords: Key words: Geodemographics; sampling framework; social class; health care; gastric cancer; JEL classification: I11; I12; C42; C99 (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/PL00011470

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