메뉴 건너뛰기




Volumn 70, Issue 3, 2013, Pages 203-210

Inside the black box: Starting to uncover the underlying decision rules used in a one-by-one expert assessment of occupational exposure in case-control studies

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLASSIFICATION AND REGRESSION TREE; EXHAUST GAS; HUMAN; OCCUPATIONAL EXPOSURE; PRIORITY JOURNAL; PROBABILITY; QUESTIONNAIRE; RANDOM FOREST; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 84874664264     PISSN: 13510711     EISSN: 14707926     Source Type: Journal    
DOI: 10.1136/oemed-2012-100918     Document Type: Article
Times cited : (27)

References (28)
  • 1
    • 77953855142 scopus 로고    scopus 로고
    • Occideas: Retrospective occupational exposure assessment in community-based studies made easier
    • Fritschi L, Friesen MC, Glass D, et al. OccIDEAS: Retrospective occupational exposure assessment in community-based studies made easier. J Environ Pub Health 2009;2009(957023):1-5.
    • (2009) J Environ Pub Health , vol.2009 , Issue.1-5 , pp. 957023
    • Fritschi, L.1    Friesen, M.C.2    Glass, D.3
  • 2
    • 0021868051 scopus 로고
    • Obtaining occupational exposure histories in epidemiologic case-control studies
    • Gerin M, Siemiatycki J, Kemper H, et al. Obtaining occupational exposure histories in epidemiologic case-control studies. J Occup Med 1985;27:420-6.
    • (1985) J Occup Med , vol.27 , pp. 420-6
    • Gerin, M.1    Siemiatycki, J.2    Kemper, H.3
  • 3
    • 0031930007 scopus 로고    scopus 로고
    • Questionnaires for collecting detailed occupational information for community-based case control studies
    • Stewart PA, Stewart WF, Siemiatycki J, et al. Questionnaires for collecting detailed occupational information for community-based case control studies. Am Ind Hyg Assoc J 1998;59:39-44.
    • (1998) Am Ind Hyg Assoc J , vol.59 , pp. 39-44
    • Stewart, P.A.1    Stewart, W.F.2    Siemiatycki, J.3
  • 4
    • 0030345398 scopus 로고    scopus 로고
    • Exposure assessment - A challenge for occupational epidemiology
    • Kauppinen T. Exposure assessment-a challenge for occupational epidemiology. Scand J Work Environ Health 1996;22:401-3.
    • (1996) Scand J Work Environ Health , vol.22 , pp. 401-3
    • Kauppinen, T.1
  • 6
    • 84866484913 scopus 로고    scopus 로고
    • Comparison of two expert-based assessments of diesel exhaust exposure in a case-control study: Programmable decision rules versus expert review of individual jobs
    • Pronk A, Stewart PA, Coble JB, et al. Comparison of two expert-based assessments of diesel exhaust exposure in a case-control study: programmable decision rules versus expert review of individual jobs. Occup Environ Med 2012;69: 752-8.
    • (2012) Occup Environ Med , vol.69 , pp. 752-8
    • Pronk, A.1    Stewart, P.A.2    Coble, J.B.3
  • 9
    • 79952574902 scopus 로고    scopus 로고
    • Occupation and bladder cancer in a population-based case-control study in northern new england
    • Colt J, Karagas M, Schwenn M, et al. Occupation and bladder cancer in a population-based case-control study in Northern New England. Occup Environ Med 2011;68:239-49.
    • (2011) Occup Environ Med , vol.68 , pp. 239-49
    • Colt, J.1    Karagas, M.2    Schwenn, M.3
  • 10
    • 0033626863 scopus 로고    scopus 로고
    • Development of an asthma specific job exposure matrix and its application in the epidemiological study of genetics and environment in asthma (egea)
    • Kennedy SM, Le Moual N, Choudat D, et al. Development of an asthma specific job exposure matrix and its application in the epidemiological study of genetics and environment in asthma (EGEA). Occup Environ Med 2000;57: 635-41.
    • (2000) Occup Environ Med , vol.57 , pp. 635-41
    • Kennedy, S.M.1    Le Moual, N.2    Choudat, D.3
  • 11
    • 33645102754 scopus 로고    scopus 로고
    • Applications of artificial intelligence systems in the analysis of epidemiological data
    • Flouris A, Duffy J. Applications of artificial intelligence systems in the analysis of epidemiological data. Eur J Epidemiol 2006;21:167-70.
    • (2006) Eur J Epidemiol , vol.21 , pp. 167-70
    • Flouris, A.1    Duffy, J.2
  • 12
    • 61549093142 scopus 로고    scopus 로고
    • Machine learning techniques to examine large patient databases
    • Meyfroidt G, Guiza F, Ramon J, et al. Machine learning techniques to examine large patient databases. Best Pract Res Clin Anaesthesiol 2009;23:127-43.
    • (2009) Best Pract Res Clin Anaesthesiol , vol.23 , pp. 127-43
    • Meyfroidt, G.1    Guiza, F.2    Ramon, J.3
  • 14
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Mach Learn 2001;45:5-32.
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 15
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Dietterich T. Ensemble methods in machine learning. Lect Notes Comput Sci 2000;1857:1-15.
    • (2000) Lect Notes Comput Sci , vol.1857 , pp. 1-15
    • Dietterich, T.1
  • 16
    • 0004097088 scopus 로고
    • Office of Management and Budget. Washington, D.C: Executive Office of the President
    • Office of Management and Budget. Standard industrial classification manual. Washington, D.C: Executive Office of the President, 1987.
    • (1987) Standard Industrial Classification Manual
  • 17
    • 0003441094 scopus 로고
    • U.S. Department of Commerce. Washington, D.C: Office of Federal Statistical Policy and Standards
    • U.S. Department of Commerce. Standard occupational classification manual. Washington, D.C: Office of Federal Statistical Policy and Standards, 1980.
    • (1980) Standard Occupational Classification Manual
  • 18
    • 84883401319 scopus 로고    scopus 로고
    • Rattle: A data mining gui for r
    • Williams GJ. Rattle: a data mining GUI for R. R J 2009;1/2:45-55.
    • (2009) R J , vol.1-2 , pp. 45-55
    • Williams, G.J.1
  • 20
    • 33748324384 scopus 로고    scopus 로고
    • R Development Core Team. Vienna Austria: R Foundation For Statistical Computing
    • R Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2006.
    • (2006) R: A Language And Environment for Statistical Computing
  • 22
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by randomforest
    • Liaw A, Wiener M. Classification and regression by randomForest. R News 2002;2:18-22.
    • (2002) R News , vol.2 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 25
    • 5444238293 scopus 로고    scopus 로고
    • Artificial neural networks and job-specific modules to assess occupational exposure
    • Black J, Benke G, Smith K, et al. Artificial neural networks and job-specific modules to assess occupational exposure. Ann Occup Hyg 2004;48:595-600.
    • (2004) Ann Occup Hyg , vol.48 , pp. 595-600
    • Black, J.1    Benke, G.2    Smith, K.3
  • 26
    • 0001189390 scopus 로고    scopus 로고
    • Recommendations for reducing the effects of exposure misclassification on relative risk estimates
    • Dosemeci M, Stewart P. Recommendations for reducing the effects of exposure misclassification on relative risk estimates. Occup Hyg 1996;3:169-76.
    • (1996) Occup Hyg , vol.3 , pp. 169-76
    • Dosemeci, M.1    Stewart, P.2
  • 27
    • 78651399348 scopus 로고    scopus 로고
    • The ghost of methods past: Exposure assessment versus job-exposure matrix studies
    • Burstyn I. The ghost of methods past: exposure assessment versus job-exposure matrix studies. Occup Environ Med 2011;68:2-3.
    • (2011) Occup Environ Med , vol.68 , pp. 2-3
    • Burstyn, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.