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Point-source modelling using matched case control data.

Diggle, P. J. and Morris, S. E. and Wakefield, J. C. (2000) Point-source modelling using matched case control data. Biostatistics, 1 (1). pp. 89-105. ISSN 1468-4357

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Abstract

We describe an extension to matched case-control studies of the parametric modelling framework developed by Diggle (1990) and Diggle and Rowlingson (1994) to investigate raised risk around putative sources of environmental pollution. We use a conditional likelihood approach for the family of risk functions considered in Diggle and Rowlingson (1994). We show that the likelihood surface that results from these models may be highly irregular, and provide a Bayesian analysis in which we investigate the posterior distribution using Markov chain Monte Carlo. An analysis of one-one matched data that were collected to investigate the relationship between respiratory disease and distance to roads in East London is presented.

Item Type: Article
Journal or Publication Title: Biostatistics
Uncontrolled Keywords: Bayes factors ; Environmental epidemiology ; Point process modelling ; Point sources of risk ; Matched case-control studies
Subjects: Q Science > QA Mathematics
Departments: Faculty of Health and Medicine > Medicine
VC's Office
Faculty of Science and Technology > Mathematics and Statistics
Faculty of Arts & Social Sciences > Law School
ID Code: 19339
Deposited By: ep_ss_importer
Deposited On: 21 Nov 2008 09:13
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:28
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19339

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