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|Title:||A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer|
|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|
|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.|
|Appears in Collections:||Biological Sciences|
Dept of Life Sciences Research Papers
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