Statistical inferences from formaldehyde DNA-protein cross-link data: Improving methods for characterization of uncertainty

Journal of Biopharmaceutical Statistics

Volumn 21, Issue 1, 2011, Pages 42-55

  Klein, Martin D ^a   Sinha, Bimal K ^b   Subramaniam, Ravi P ^c  

^a U S CENSUS BUREAU   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

DNA protein cross links (DPX); Formaldehyde; Nonlinear regression models; Ordinary differential equations; PBPK models

Indexed keywords

FORMALDEHYDE;

ANIMAL EXPERIMENT; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DNA CROSS LINKING; FISHER EXACT TEST; FREQUENCY ANALYSIS; MODEL; NASOPHARYNX; NONHUMAN; NOSE; NOSE SEPTUM; PHYSIOLOGICALLY BASED PHARMACOKINETIC MODELING; PREDICTION; PRIORITY JOURNAL; PROTEIN CROSS LINKING; PROTEIN DNA INTERACTION; RAT; RHESUS MONKEY; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL INFERENCE; STATISTICAL MODEL; TURBINATE; UNCERTAINTY;

ADMINISTRATION, INHALATION; ANIMALS; BAYES THEOREM; CROSS-LINKING REAGENTS; DNA; FORMALDEHYDE; MACACA MULATTA; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NASAL MUCOSA; PROTEINS; RATS; TIME FACTORS; UNCERTAINTY;

EID: 78650858806     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400903531601     Document Type: Article

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