A Bayesian hierarchical nonlinear model for assessing the association between genetic variation and drug cytotoxicity

Statistics in Medicine

Volumn 28, Issue 21, 2009, Pages 2709-2722

  Fridley, Brooke L ^a   Jenkins, Gregory ^a   Schaid, Daniel J ^a   Wang, Liewei ^a  

^a MAYO CLINIC   (United States)

Author keywords

Cell lines; Cytotoxicity; Hierarchical nonlinear model; mRNA expression; Pharmacogenomics

Indexed keywords

GEMCITABINE;

ARTICLE; BAYES THEOREM; BAYESIAN HIERARCHIAL NONLINEAR MODEL; BIOASSAY; CANCER INHIBITION; CONCENTRATION RESPONSE; CYTOTOXICITY; FEMALE; GENE EXPRESSION; GENETIC VARIABILITY; GENOME ANALYSIS; GI 50; HUMAN; HUMAN CELL; MALE; PHARMACOGENETICS; PHARMACOLOGICAL PARAMETERS; SIMULATION; STATISTICAL ANALYSIS;

ANTIMETABOLITES, ANTINEOPLASTIC; BAYES THEOREM; DEOXYCYTIDINE; DRUG TOXICITY; GENE EXPRESSION; GENETIC VARIATION; HUMANS; MODELS, STATISTICAL; PHARMACOGENETICS;

EID: 70449435534     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3649     Document Type: Article

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