Analytical predictive bayesian assessment of occupational injury risk : municipal solid waste collectors

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<title>Analytical predictive bayesian assessment of occupational injury risk</title>
<subTitle>: municipal solid waste collectors</subTitle>
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<dateIssued encoding="marc">2003</dateIssued>
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<abstract>In this article a predictive Bayesian method of assessing total injury rates from available information without computation is presented, and used to assess the actual numbers of musculoskeletal and dermal injuries requiring cliniclal care of MSW workers in Florida. Closed- form predictive Bayesian distributions tha narrow progressively in response to information, representing both uncertainty and variability, are presented.</abstract>
<note type="statement of responsibility">James D. Englehardt...[et.al]</note>
<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080585679">
<topic>Higiene industrial</topic>
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<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080577803">
<topic>Residuos sólidos</topic>
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<subject authority="lcshac" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080570484">
<topic>Riesgo laboral</topic>
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<topic>Cálculo de probabilidades</topic>
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<topic>Métodos de análisis</topic>
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<topic>Enfermedades profesionales</topic>
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<title>Risk analysis : an international journal</title>
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<publisher>New York and London : Society for Risk Analysis</publisher>
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<text>Vol. 23, nº 5, October, 2003 ; p. 917-927</text>
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