Examining the Joint Effect of Multiple Risk Factors Using Exposure Risk Profiles: Lung Cancer in Nonsmokers | Zendy

Michail Papathomas | Zendy; John Molitor | Zendy; Sylvia Richardson | Zendy; Elio Ríboli | Zendy; Paolo Vineis | Zendy

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Examining the Joint Effect of Multiple Risk Factors Using Exposure Risk Profiles: Lung Cancer in Nonsmokers

Author(s) -

Michail Papathomas,

John Molitor,

Sylvia Richardson,

Elio Ríboli,

Paolo Vineis

Publication year - 2010

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.1002118

Subject(s) - multinomial logistic regression , covariate , statistics , regression analysis , logistic regression , lung cancer , mendelian randomization , odds ratio , regression , medicine , mathematics , oncology , biology , biochemistry , genetic variants , genotype , gene

Profile regression is a Bayesian statistical approach designed for investigating the joint effect of multiple risk factors. It reduces dimensionality by using as its main unit of inference the exposure profiles of the subjects that is, the sequence of covariate values that correspond to each subject.

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