The application of a Bayesian approach to the analysis of a complex, mechanistically based model

Journal of Biopharmaceutical Statistics

Volumn 17, Issue 1, 2007, Pages 65-92

  Jonsson, Fredrik ^a   Jonsson, E Niclas ^a   Bois, Frédéric Y ^b   Marshall, Scott ^c  

^a UPPSALA UNIVERSITY   (Sweden)

^b INSTITUT NATIONAL DE L ENVIRONNEMENT INDUSTRIEL ET DES RISQUES INERIS   (France)

^c PFIZER GLOBAL RESEARCH AND DEVELOPMENT   (United Kingdom)

Author keywords

Bayesian; Hierarchical models; Mechanistic modeling; Sensitivity analysis; Summary of evidence

Indexed keywords

NEUTROPHIL INHIBITORY FACTOR; UK 279276;

ACCURACY; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; CORRELATION COEFFICIENT; HUMAN; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MODEL; NEUTROPHIL; POPULATION; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY ANALYSIS; SINGLE DRUG DOSE; STROKE PATIENT;

ALGORITHMS; BAYES THEOREM; BLOOD CELL COUNT; CEREBROVASCULAR ACCIDENT; GLYCOPROTEINS; HUMANS; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NEUTROPHIL INFILTRATION; NEUTROPHILS;

EID: 33845746275     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400600851898     Document Type: Article

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