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Efficiency of autocoding programs for converting job descriptors into Standard Occupational Classification (SOC) codes

CITE Title : Efficiency of autocoding programs for converting job descriptors into Standard Occupational Classification (SOC) codes Personal Author(s) : Buckner-Petty, Skye;Dale, Ann Marie;Evanoff, Bradley A.; Published Date : December 05 2018;1-2019; Source : Am J Ind Med. 62(1):59-68 URL : https://stacks.cdc.gov/view/cdc/79145 Buckner-Petty, Skye et al. (2018). Efficiency of autocoding programs for converting job descriptors into Standard Occupational Classification (SOC) codes. 62(1). Buckner-Petty, Skye and Dale, Ann Marie and Evanoff, Bradley A. "Efficiency of autocoding programs for converting job descriptors into Standard Occupational Classification (SOC) codes" 62, no. 1 (2018) Buckner-Petty, Skye et al. "Efficiency of autocoding programs for converting job descriptors into Standard Occupational Classification (SOC) codes" vol. 62, no. 1, 2018 Export RIS Citation Information.

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Buckner-Petty, Skye ;

Dale, Ann Marie

December 05 2018 | Am J Ind Med. 62(1):59-68

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BackgroundExisting datasets often lack job exposure data. Standard Occupational Classification (SOC) codes can link work exposure data to health outco...
Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures

CITE Title : Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures Personal Author(s) : Dale, Ann Marie;Ekenga, Christine C;Buckner-Petty, Skye;Merlino, Linda;Thiese, Matthew S;Bao, Stephen;Meyers, Alysha Rose;Harris-Adamson, Carisa;Kapellusch, Jay;Eisen, Ellen A;Gerr, Fred;Hegmann, Kurt T;Silverstein, Barbara;Garg, Arun;Rempel, David;Zeringue, Angelique;Evanoff, Bradley A; Published Date : Mar 29 2018 Source : Occup Environ Med. 2018; 75(7):501-506. URL : https://stacks.cdc.gov/view/cdc/57439 Dale, Ann Marie et al. (2018). Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures. 75(7). Dale, Ann Marie et al. "Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures" 75, no. 7 (2018) Dale, Ann Marie et al. "Incident CTS in a large pooled cohort study: associations obtained by a Job Exposure Matrix versus associations obtained from observed exposures" vol. 75, no. 7, 2018 Export RIS Citation Information.

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Dale, Ann Marie ;

Ekenga, Christine C

Mar 29 2018 | Occup Environ Med. 2018; 75(7):501-506.

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BackgroundThere is growing use of a job exposure matrix (JEM) to provide exposure estimates in studies of work-related musculoskeletal disorders; few ...
Exposure to Solar and Artificial Ultraviolet Radiation

CITE Title : Exposure to Solar and Artificial Ultraviolet Radiation Personal Author(s) : Boiano, James M.;Silver, Sharon R.;Tsai, Rebecca J.;Sanderson, Wayne T.;Liu, Sa;Whitehead, Lawrence W.; Published Date : 11 16 2020 Source : Ann Work Expo Health. 64(9):936-943 URL : https://stacks.cdc.gov/view/cdc/113979 Boiano, James M. et al. (2020). Exposure to Solar and Artificial Ultraviolet Radiation. 64(9). Boiano, James M. et al. "Exposure to Solar and Artificial Ultraviolet Radiation" 64, no. 9 (2020) Boiano, James M. et al. "Exposure to Solar and Artificial Ultraviolet Radiation" vol. 64, no. 9, 2020 Export RIS Citation Information.

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Boiano, James M. ;

Silver, Sharon R.

11 16 2020 | Ann Work Expo Health. 64(9):936-943

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IntroductionJob exposure matrices (JEMs) are important tools for estimating occupational exposures in study populations where only information on indu...
Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures

CITE Title : Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures Personal Author(s) : Yung, Marcus;Evanoff, Bradley A;Buckner-Petty, Skye;Roquelaure, Yves;Descatha, Alexis;Dale, Ann Marie; Published Date : 5 01 2020 Source : Scand J Work Environ Health. 46(3):248-258 URL : https://stacks.cdc.gov/view/cdc/116640 Yung, Marcus et al. (2020). Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures. 46(3). Yung, Marcus et al. "Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures" 46, no. 3 (2020) Yung, Marcus et al. "Applying two general population job exposure matrices to predict incident carpal tunnel syndrome: A cross-national approach to improve estimation of workplace physical exposures" vol. 46, no. 3, 2020 Export RIS Citation Information.

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Yung, Marcus ;

Evanoff, Bradley A

5 01 2020 | Scand J Work Environ Health. 46(3):248-258

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ObjectivesA job exposure matrix (JEM) is a tool to estimate workers’ exposure to occupational physical risk factors. We evaluated the performance of...