The 2-phase case-control design: an efficient way to use expert-time

OBJECTIVES: The objective of this paper is to show the benefits of using a 2-phase case-control (2PCC) design in identifying dose-response relationships between cumulative occupational exposure as assessed by experts and lung cancer incidence in an actual study. METHODS: A population-based case-cont...

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Main Authors: Pascal Wild (Author), Walter Schill (Author), Eve Bourgkard (Author), Karsten Drescher (Author), Maria Gonzalez (Author), Christophe Paris (Author)
Format: Book
Published: Nordic Association of Occupational Safety and Health (NOROSH), 2016-03-01T00:00:00Z.
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001 doaj_acf37f4f8e3b4c84bc525d277e71bada
042 |a dc 
100 1 0 |a Pascal Wild  |e author 
700 1 0 |a Walter Schill  |e author 
700 1 0 |a Eve Bourgkard  |e author 
700 1 0 |a Karsten Drescher  |e author 
700 1 0 |a Maria Gonzalez  |e author 
700 1 0 |a Christophe Paris  |e author 
245 0 0 |a The 2-phase case-control design: an efficient way to use expert-time 
260 |b Nordic Association of Occupational Safety and Health (NOROSH),   |c 2016-03-01T00:00:00Z. 
500 |a 0355-3140 
500 |a 1795-990X 
500 |a 10.5271/sjweh.3547 
520 |a OBJECTIVES: The objective of this paper is to show the benefits of using a 2-phase case-control (2PCC) design in identifying dose-response relationships between cumulative occupational exposure as assessed by experts and lung cancer incidence in an actual study. METHODS: A population-based case-control study including 246 cases and 531 controls was conducted in an area with high lung cancer rates in Northeast France. Detailed occupational and personal risk factors were obtained in face-to-face interviews. Cumulative expert-based exposure scores were obtained from a subset of 215 cases and 269 controls stratified on smoking and a prior algorithmic exposure score for asbestos, crystalline silica, and polycyclic aromatic hydrocarbons (PAH) in the framework of a 2PCC design. This subset deliberately under-sampled large strata among controls but not among cases. Logistic regression models adapted to 2PCC studies were applied and corresponding computations of attributable fractions and their confidence intervals developed. RESULTS: Based on this 2PCC design, statistically significant dose-response relationships were obtained for asbestos, crystalline silica, PAH, and diesel motor exhaust. Simulations within this study showed that 2PCC studies were always more powerful than random samples. CONCLUSION: The 2PCC design may be the design of choice when resources allow only a limited number of subjects with a full expert-based exposure assessment. 
546 |a EN 
690 |a expert-based exposure assessment 
690 |a exposure assessment 
690 |a occupational exposure 
690 |a occupational epidemiology 
690 |a cancer 
690 |a attributable fraction 
690 |a case-control study 
690 |a dose-response relationship 
690 |a occupational exposure 
690 |a epidemiological method 
690 |a case-control design 
690 |a 2-phase case-control design 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Scandinavian Journal of Work, Environment & Health, Vol 42, Iss 2, Pp 162-169 (2016) 
787 0 |n  https://www.sjweh.fi/show_abstract.php?abstract_id=3547  
787 0 |n https://doaj.org/toc/0355-3140 
787 0 |n https://doaj.org/toc/1795-990X 
856 4 1 |u https://doaj.org/article/acf37f4f8e3b4c84bc525d277e71bada  |z Connect to this object online.