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:
Journal Article
Journal or Publication Title:
Biostatistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? bayes factorsenvironmental epidemiologypoint process modellingpoint sources of riskmatched case-control studiesstatistics and probabilitystatistics, probability and uncertaintygeneral medicinemedicine(all)qa mathematics ??
ID Code:
19339
Deposited By:
Deposited On:
21 Nov 2008 09:13
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 08:17