Accommodating uncertainty in comparative risk

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      <subfield code="c">Clinton J. Andrews, David M. Hassenzahl, Branden B. Johnson</subfield>
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      <subfield code="a">Comparative risk projects can provide broad policy guidance but they rarely have adequate scientific foundations to support precise risk rankings. Many extant projects report rankings anyway, with limited attention to uncertainty. The recently complete New Jersey Comparative Risk Project was innovative in trying to acknowledge and accomodate some historically ignored uncertainties in a substantive manner. This article examines the methods used and lesson learned from the New Jersey project</subfield>
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      <subfield code="g">nº 5, October 2004 ; p. 1323-1335</subfield>
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