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Your search keyword '"Friesen, Melissa C."' showing total 9 results
Start Over Author "Friesen, Melissa C." Journal american journal of industrial medicine
9 results on '"Friesen, Melissa C."'

1. An algorithm for quantitatively estimating occupational endotoxin exposure in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study: I. Development of task‐specific exposure levels from published data

Author

Friesen, Melissa C., primary, Xie, Shuai, additional, Sauvé, Jean‐François, additional, Viet, Susan Marie, additional, Josse, Pabitra R., additional, Locke, Sarah J., additional, Hung, Felicia, additional, Andreotti, Gabriella, additional, Thorne, Peter S., additional, Hofmann, Jonathan N., additional, and Beane Freeman, Laura E., additional

Published
2023
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2. An algorithm for quantitatively estimating occupational endotoxin exposure in the biomarkers of exposure and effect in agriculture study: II. Application to the study population

Author

Friesen, Melissa C., primary, Beane Freeman, Laura E., additional, Locke, Sarah J., additional, Josse, Pabitra R., additional, Xie, Shuai, additional, Viet, Susan Marie, additional, Sauvé, Jean‐François, additional, Andreotti, Gabriella, additional, Thorne, Peter S., additional, and Hofmann, Jonathan N., additional

Published
2023
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8. Decision rule approach applied to estimate occupational lead exposure in a case-control study of kidney cancer

Author

Callahan, Catherine L., primary, Locke, Sarah J., additional, Dopart, Pamela J., additional, Stewart, Patricia A., additional, Schwartz, Kendra, additional, Ruterbusch, Julie J., additional, Graubard, Barry I., additional, Rothman, Nathaniel, additional, Hofmann, Jonathan N., additional, Purdue, Mark P., additional, and Friesen, Melissa C., additional

Published
2018
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9. Harmonizing work history data in epidemiologic studies with overlapping employment records.

Author

Babigumira, Ronnie, Grimsrud, Tom Kristian, Stenehjem, Jo Steinson, and Friesen, Melissa C

Subjects
EMPLOYMENT of petroleum workers, EPIDEMIOLOGY, OCCUPATIONAL hazards, DATA analysis, COHORT analysis
Abstract

Background: Work history data often require major data management including handling of overlapping jobs to avoid overestimating exposure before linkage to job‐exposure matrices (JEMs) is possible. Methods: In a case‐cohort study of 1825 male Norwegian offshore petroleum workers, 3979 jobs were reported (mean duration 2417 days/job; maximum 8 jobs/worker). Each job was assigned to one of 27 occupation categories. Overlapping jobs of the same category (1142 jobs) were collapsed and overlapping jobs of different categories (1013 jobs) were split. The resulting durations were weighted by a factor accounting for the number of overlapping jobs. Results: Collapsing overlapping jobs within the same category resulted in 3295 jobs (mean 2629 days/job). Splitting overlapping jobs of different categories increased the number to 4239 jobs (mean 2043 days/job), while the total duration in days dropped by 10%. Conclusions: We demonstrated that overlapping employment data structures can be harmonized in a systematic and unbiased way, preparing work history data for linkage to several JEMs. [ABSTRACT FROM AUTHOR]

Published
2019
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