Estimation of Spatial Variation in Risk Using Matched Case-control Data.

Jarner, Mikala F. and Diggle, Peter J. and Chetwynd, Amanda G. (2002) Estimation of Spatial Variation in Risk Using Matched Case-control Data. Biometrical Journal, 44 (8). pp. 936-945. ISSN 1521-4036

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Abstract

A common problem in environmental epidemiology is to estimate spatial variation in disease risk after accounting for known risk factors. In this paper we consider this problem in the context of matched case-control studies. We extend the generalised additive model approach of Kelsall and Diggle (1998) to studies in which each case has been individually matched to a set of controls. We discuss a method for fitting this model to data, apply the method to a matched study on perinatal death in the North West Thames region of England and explain why, if spatial variation is of particular scientific interest, matching is undesirable.

Item Type:
Journal Article
Journal or Publication Title:
Biometrical Journal
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? spatial variation in risk • generalised additive models • epidemiology • matched case-control designstatistics and probabilitystatistics, probability and uncertaintymedicine(all)qa mathematics ??
ID Code:
20942
Deposited By:
Deposited On:
04 Dec 2008 15:18
Refereed?:
No
Published?:
Published
Last Modified:
28 Nov 2023 10:45