Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/9958
Title: A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer
Authors: Hastie, DI
Liverani, S
Azizi, L
Richardson, S
Stücker, I
Keywords: Adenocarcinoma;Bayes Theorem;Case-Control Studies;Data Interpretation, Statistical;Environmental Exposure;Humans;Lung Neoplasms;Male;Models, Statistical;Multivariate Analysis;Odds Ratio;Risk Factors;Sensitivity and Specificity;Smoking
Issue Date: 2013
Citation: BMC Med Res Methodol, 13:129, 2013
Abstract: A common characteristic of environmental epidemiology is the multi-dimensional aspect of exposure patterns, frequently reduced to a cumulative exposure for simplicity of analysis. By adopting a flexible Bayesian clustering approach, we explore the risk function linking exposure history to disease. This approach is applied here to study the relationship between different smoking characteristics and lung cancer in the framework of a population based case control study.
URI: http://www.ncbi.nlm.nih.gov/pubmed/24152389
http://bura.brunel.ac.uk/handle/2438/9958
DOI: http://dx.doi.org/10.1186/1471-2288-13-129
ISSN: 1471-2288
Appears in Collections:Biological Sciences
Dept of Life Sciences Research Papers

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