Literature DB >> 8502790

Upper confidence limits on excess risk for quantitative responses.

R L Kodell1, R W West.   

Abstract

The definition and observation of clear-cut adverse health effects for continuous (quantitative) responses, such as altered body weights or organ weights, are difficult propositions. Thus, methods of risk assessment commonly used for binary (quantal) toxic responses such as cancer are not directly applicable. In this paper, two methods for calculating upper confidence limits on excess risk for quantitative toxic effects are proposed, based on a particular definition of an adverse quantitative response. The methods are illustrated with data from a dose-response study, and their performance is evaluated with a Monte Carlo simulation study.

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Year:  1993        PMID: 8502790     DOI: 10.1111/j.1539-6924.1993.tb01067.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  9 in total

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Authors:  Brooke E Buckley; Walter W Piegorsch
Journal:  Stat Methodol       Date:  2008-05

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5.  Bootstrap methods for simultaneous benchmark analysis with quantal response data.

Authors:  R Webster West; Daniela K Nitcheva; Walter W Piegorsch
Journal:  Environ Ecol Stat       Date:  2009-03-01       Impact factor: 1.119

6.  Benchmark dose for cadmium-induced renal effects in humans.

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Review 7.  Evaluating noncancer effects of trichloroethylene: dosimetry, mode of action, and risk assessment.

Authors:  H A Barton; H J Clewell
Journal:  Environ Health Perspect       Date:  2000-05       Impact factor: 9.031

8.  Meta-analysis of dioxin cancer dose response for three occupational cohorts.

Authors:  Kenny S Crump; Richard Canady; Manolis Kogevinas
Journal:  Environ Health Perspect       Date:  2003-05       Impact factor: 9.031

9.  Historical Context and Recent Advances in Exposure-Response Estimation for Deriving Occupational Exposure Limits.

Authors:  M W Wheeler; R M Park; A J Bailer; C Whittaker
Journal:  J Occup Environ Hyg       Date:  2015       Impact factor: 2.155

  9 in total

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