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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 wedoi:10.1093/biostatistics/1.1.89 pmid:12933527 fatcat:uiqhvoco3fhnphffxb5vbmayvy