A bayesian network model for biomarker-based dose response

Risk Analysis

Volumn 30, Issue 7, 2010, Pages 1037-1051

  Hack, C Eric ^a,b   Haber, Lynne T ^a   Maier, Andrew ^a   Shulte, Paul ^c   Fowler, Bruce ^d   Lotz, W Gregory ^c   Savage Jr , Russell E ^c,e  

^a Toxicology Excellence for Risk Assessment   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

^c NATIONAL INSTITUTE FOR OCCUPATIONAL SAFETY AND HEALTH   (United States)

^d AGENCY FOR TOXIC SUBSTANCES AND DISEASE REGISTRY   (United States)

^e Jiann Ping Hsu College of Public Health   (United States)

Author keywords

Bayesian; benzene; biomarker; dose response

Indexed keywords

ACUTE MYELOID LEUKEMIA; BAYESIAN; BAYESIAN NETWORK MODELS; DOSE RESPONSE; DOSE-RESPONSE ANALYSIS; EXPOSURE CONCENTRATION; LOW DOSE; ORDER OF MAGNITUDE; POINT OF DEPARTURES; QUANTITATIVE APPROACH;

BAYESIAN NETWORKS; BENZENE; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS;

BIOMARKERS;

BENZENE; BIOLOGICAL MARKER; AIR POLLUTANT;

BAYESIAN ANALYSIS; BENZENE; BIOMARKER; BLOOD SYSTEM DISORDER; CANCER; CONCENTRATION (COMPOSITION); DOSE-RESPONSE RELATIONSHIP; MORTALITY; NUMERICAL MODEL; POLLUTION EXPOSURE;

ACUTE GRANULOCYTIC LEUKEMIA; AIR POLLUTANT; ARTICLE; BAYES THEOREM; CHEMICALLY INDUCED DISORDER; DOSE RESPONSE; HUMAN; MONTE CARLO METHOD; RISK ASSESSMENT; STATISTICS; CHEMICALLY INDUCED; STATISTICS AND NUMERICAL DATA; TOXICITY;

AIR POLLUTANTS; BAYES THEOREM; BENZENE; BIOLOGICAL MARKERS; DOSE-RESPONSE RELATIONSHIP, DRUG; HUMANS; LEUKEMIA, MYELOID, ACUTE; MONTE CARLO METHOD; RISK ASSESSMENT;

EID: 77954707678     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2010.01413.x     Document Type: Article

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