Symmetry, identifiability, and prediction uncertainties in multistage clonal expansion (MSCE) models of carcinogenesis

Risk Analysis

Volumn 27, Issue 6, 2007, Pages 1441-1453

  Cox Jr , Louis Anthony ^a   Huber, William A ^b  

^a Cox Associates ^*  (United States)

^b Quantitative Decisions   (United States)

Author keywords

Biologically based risk assessment; Discrete symmetries; Lung cancer; System identification; Uncertainty analysis

Indexed keywords

CELL PROLIFERATION; IDENTIFICATION (CONTROL SYSTEMS); RISK ASSESSMENT; UNCERTAINTY ANALYSIS;

BIOLOGICALLY BASED RISK ASSESSMENT; BIOLOGICALLY EFFECTIVE DOSES; DISCRETE SYMMETRIES; LUNG CANCER; MATHEMATICAL ANALYSIS; MULTISTAGE CLONAL EXPANSIONS;

CARCINOGENS;

CANCER; CARCINOGEN; EPIDEMIOLOGY; MODELING; NONLINEARITY; RISK ASSESSMENT; SYMMETRY; UNCERTAINTY ANALYSIS;

AGE SPECIFIC CARE; ARTICLE; CANCER CELL; CANCER RISK; CANCER STAGING; CARCINOGENESIS; CELL GROWTH; CELL PROLIFERATION; DOSE RESPONSE; EPIDEMIOLOGICAL DATA; EXPOSURE VARIABLE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PARAMETER; PREDICTION; RISK ASSESSMENT;

CELL TRANSFORMATION, NEOPLASTIC; COCARCINOGENESIS; HUMANS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; NEOPLASMS; NONLINEAR DYNAMICS; RISK ASSESSMENT; UNCERTAINTY;

EID: 37249067624     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2007.00980.x     Document Type: Article

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