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
Full text not available from this repository.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: | Journal Article |
|---|---|
| Journal or Publication Title: | Biostatistics |
| Uncontrolled Keywords: | /dk/atira/pure/researchoutput/libraryofcongress/qa |
| Subjects: | ?? BAYES FACTORSENVIRONMENTAL EPIDEMIOLOGYPOINT PROCESS MODELLINGPOINT SOURCES OF RISKMATCHED CASE-CONTROL STUDIESQA 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: | 29 Apr 2019 14:16 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/19339 |
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