Simultaneous modeling of detection rate and exposure concentration using semi-continuous models to identify exposure determinants when left-censored data may be a true zero

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作者
Melissa C. Friesen
Hyoyoung Choo-Wosoba
Philippe Sarazin
Jooyeon Hwang
Pamela Dopart
Daniel E. Russ
Nicole C. Deziel
Jérôme Lavoué
Paul S. Albert
Bin Zhu
机构
[1] Occupational and Environmental Epidemiology Branch,National Cancer Institute, Division of Cancer Epidemiology & Genetics
[2] Biostatistics Branch,National Cancer Institute, Division of Cancer Epidemiology & Genetics
[3] Chemical and Biological Hazards Prevention,Institut de recherche Robert
[4] Department of Occupational and Environmental Health,Sauvé en santé et en sécurité du travail
[5] Université de Montréal,Office of Intramural Research, Center for Information Technology
[6] Department of Occupational and Environmental Health,Yale School of Public Health
[7] University of Oklahoma Health Sciences Center,undefined
[8] National Institutes of Health,undefined
[9] Yale University,undefined
关键词
statistical modeling; left-censored data; occupational lead exposure;
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摘要
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页码:1047 / 1056
页数:9
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  • [1] Simultaneous modeling of detection rate and exposure concentration using semi-continuous models to identify exposure determinants when left-censored data may be a true zero
    Friesen, Melissa C.
    Choo-Wosoba, Hyoyoung
    Sarazin, Philippe
    Hwang, Jooyeon
    Dopart, Pamela
    Russ, Daniel E.
    Deziel, Nicole C.
    Lavoue, Jerome
    Albert, Paul S.
    Zhu, Bin
    JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 2021, 31 (06) : 1047 - 1056