Model Uncertainty and Model Averaging in the Estimation of Infectious Doses for Microbial Pathogens

Risk Analysis

Volumn 33, Issue 2, 2013, Pages 220-231

  Moon, Hojin ^a   Kim, Steven B ^b   Chen, James J ^c,d   George, Nysia I ^c   Kodell, Ralph L ^e  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b Ringgold Standard Institution Informatics   (United States)

^c NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^d CHINA MEDICAL UNIVERSITY   (Taiwan)

^e UNIVERSITY OF ARKANSAS FOR MEDICAL SCIENCES   (United States)

Author keywords

Bias skewness correction; Confidence limit; Data uncertainty; Food safety; Kullback information criterion

Indexed keywords

BOOTSTRAP METHOD; CONFIDENCE INTERVAL; CONFIDENCE LIMIT; COVERAGE PROBABILITIES; DATA UNCERTAINTY; DELTA METHOD; DOSE RESPONSE; DOSE-RESPONSE MODELING; DOSE-RESPONSE MODELS; EFFECTIVE DOSE; EXPOSURE LEVEL; KULLBACK INFORMATION; LOWER CONFIDENCE LIMIT; MICROBIAL PATHOGENS; MODEL AVERAGING; MODEL UNCERTAINTIES; MONTE CARLO SIMULATION; REAL DATA SETS; SUBLINEAR; SUPERLINEAR; WEIGHTED AVERAGES;

ESTIMATION; FOOD SAFETY; HEALTH RISKS; MONTE CARLO METHODS; RISK PERCEPTION; STATISTICAL METHODS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; DATA PROCESSING; DATA SET; DOSE-RESPONSE RELATIONSHIP; ESTIMATION METHOD; FOOD INTAKE; INFECTIVITY; INFORMATION PROCESSING; MICROBIAL COMMUNITY; MONTE CARLO ANALYSIS; PATHOGEN; PROBABILITY; SIMULATION;

ANIMAL; ARTICLE; BAYES THEOREM; MONTE CARLO METHOD; RAT; THEORETICAL MODEL; UNCERTAINTY;

ANIMALS; BAYES THEOREM; MODELS, THEORETICAL; MONTE CARLO METHOD; RATS; UNCERTAINTY;

EID: 84873120815     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2012.01853.x     Document Type: Article

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