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2 results on '"Case–control (CC) study"'

1. Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case–control data.

Author

Chambaz, Antoine, Choudat, Dominique, Huber, Catherine, Pairon, Jean-Claude, and van der Laan, Mark J.

Subjects
*ASBESTOS & health, *OCCUPATIONAL diseases, *REGRESSION analysis, *LUNG cancer, *MAXIMUM likelihood statistics, *CASE-control method, *DATA analysis
Abstract

We analyze the effect of occupational exposure to asbestos on the occurrence of lung cancer based on a recent French case–control (CC) study. We build a large collection of threshold regression models, data-adaptively select a better model by CC-weighted likelihood-based cross-validation and then fit this better model by CC-weighted maximum likelihood. The CC-weighting allows us to draw valid inferences from CC data without relying on a logistic regression. This is possible because the joint distribution of the indicator of being a case and matching variable is available beforehand owing to two studies independent from our data set. The implications of the fitted model in terms of years of life free of lung cancer lost due to the exposure to asbestos are discussed. [ABSTRACT FROM AUTHOR]

Published
2014
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2. Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data

Author

Dominique Choudat, Mark J. van der Laan, Antoine Chambaz, Catherine Huber, Jean-Claude Pairon, Modélisation aléatoire de Paris X (MODAL'X), Université Paris Nanterre (UPN), AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Division of Biostatistics [Berkeley], School of Public Health [Berkeley], University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC)-University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), University of California [Berkeley], University of California-University of California-University of California [Berkeley], University of California-University of California, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Modélisation aléatoire de Paris X ( MODAL'X ), Université Paris Nanterre ( UPN ), Mathématiques Appliquées à Paris 5 ( MAP5 - UMR 8145 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National des Sciences Mathématiques et de leurs Interactions-Centre National de la Recherche Scientifique ( CNRS ), Institut Mondor de Recherche Biomédicale ( IMRB ), Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR10, and Division of Biostatistics, School of Public Health

Subjects
Statistics and Probability, Male, Matching (statistics), Lung Neoplasms, Computer science, [SDV]Life Sciences [q-bio], [SDV.CAN]Life Sciences [q-bio]/Cancer, Logistic regression, medicine.disease_cause, 01 natural sciences, Asbestos, Cross-validation, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, Case–control (CC) study, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Joint probability distribution, Occupational Exposure, Statistics, medicine, Humans, [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST], 0101 mathematics, Likelihood Functions, Models, Statistical, [ SDV ] Life Sciences [q-bio], Regression analysis, General Medicine, Threshold regression model (TR), Data set, Variable (computer science), 030220 oncology & carcinogenesis, Case-Control Studies, Data Interpretation, Statistical, Regression Analysis, Occupational exposure to asbestos, Female, Statistics, Probability and Uncertainty
Abstract

International audience; We analyze the effect of occupational exposure to asbestos on the occurrence of lung cancer based on arecent French case–control (CC) study. We build a large collection of threshold regression models, dataadaptivelyselect a better model by CC-weighted likelihood-based cross-validation and then fit this bettermodel by CC-weighted maximum likelihood. The CC-weighting allows us to draw valid inferences fromCC data without relying on a logistic regression. This is possible because the joint distribution of theindicator of being a case and matching variable is available beforehand owing to two studies independentfrom our data set. The implications of the fitted model in terms of years of life free of lung cancer lost dueto the exposure to asbestos are discussed.

Published
2013

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