Point-source modelling using matched case control data.

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Point-source modelling using matched case control data. / Diggle, P. J.; Morris, S. E.; Wakefield, J. C.
In: Biostatistics, Vol. 1, No. 1, 2000, p. 89-105.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Diggle, PJ, Morris, SE & Wakefield, JC 2000, 'Point-source modelling using matched case control data.', Biostatistics, vol. 1, no. 1, pp. 89-105. https://doi.org/10.1093/biostatistics/1.1.89

APA

Diggle, P. J., Morris, S. E., & Wakefield, J. C. (2000). Point-source modelling using matched case control data. Biostatistics, 1(1), 89-105. https://doi.org/10.1093/biostatistics/1.1.89

Vancouver

Diggle PJ, Morris SE, Wakefield JC. Point-source modelling using matched case control data. Biostatistics. 2000;1(1):89-105. doi: 10.1093/biostatistics/1.1.89

Author

Diggle, P. J. ; Morris, S. E. ; Wakefield, J. C. / Point-source modelling using matched case control data. In: Biostatistics. 2000 ; Vol. 1, No. 1. pp. 89-105.

Bibtex

@article{26b7086e71e64fe69225e673501d5a84,

title = "Point-source modelling using matched case control data.",

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.",

keywords = "Bayes factors, Environmental epidemiology, Point process modelling, Point sources of risk, Matched case-control studies",

author = "Diggle, {P. J.} and Morris, {S. E.} and Wakefield, {J. C.}",

year = "2000",

doi = "10.1093/biostatistics/1.1.89",

language = "English",

volume = "1",

pages = "89--105",

journal = "Biostatistics",

issn = "1468-4357",

publisher = "Oxford University Press",

number = "1",

}

RIS

TY - JOUR

T1 - Point-source modelling using matched case control data.

AU - Diggle, P. J.

AU - Morris, S. E.

AU - Wakefield, J. C.

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

KW - Bayes factors

KW - Environmental epidemiology

KW - Point process modelling

KW - Point sources of risk

KW - Matched case-control studies

U2 - 10.1093/biostatistics/1.1.89

DO - 10.1093/biostatistics/1.1.89

M3 - Journal article

VL - 1

SP - 89

EP - 105

JO - Biostatistics

JF - Biostatistics

SN - 1468-4357

IS - 1

ER -

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