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The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems

CITE Title : The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems Personal Author(s) : Haas, Emily J.;Yorio, Patrick L.; Published Date : May 2019;5-2019; Source : J Loss Prev Process Ind. 59:91-99 URL : https://stacks.cdc.gov/view/cdc/94026 Haas, Emily J. and Yorio, Patrick L. (2019). The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems. 59 Haas, Emily J. and Yorio, Patrick L. "The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems" 59 (2019) Haas, Emily J. and Yorio, Patrick L. "The role of risk avoidance and locus of control in workers’ near miss experiences: Implications for improving safety management systems" vol. 59, 2019 Export RIS Citation Information.

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Haas, Emily J. ;

Yorio, Patrick L.

May 2019 | J Loss Prev Process Ind. 59:91-99

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The process industry has made major advancements and is a leader in near-miss safety management, with several validated models and databases to track ...
Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006

CITE Title : Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006 Personal Author(s) : Cheng, Yiling J.;Gregg, Edward W.;Rolka, Deborah B.;Thompson, Theodore J.; Published Date : Dec 15 2016 Source : Popul Health Metr. 14. URL : https://stacks.cdc.gov/view/cdc/43640 Cheng, Yiling J. et al. (2016). Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006. 14 Cheng, Yiling J. et al. "Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006" 14 (2016) Cheng, Yiling J. et al. "Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006" vol. 14, 2016 Export RIS Citation Information.

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Cheng, Yiling J. ;

Gregg, Edward W.

Dec 15 2016 | Popul Health Metr. 14.

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BackgroundMonitoring national mortality among persons with a disease is important to guide and evaluate progress in disease control and prevention. Ho...