Bayesian hierarchically weighted finite mixture models for samples of distributions

Biostatistics

Volumn 10, Issue 1, 2009, Pages 155-171

  Rodriguez, Abel ^a   Dunson, David B ^b   Taylor, Jack ^b  

^a University of California Santa Cruz   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Comet assay; Finite mixture model; Genotoxicity; Hierarchical functional data; Latent factor; Samples of distributions; Stochastic search

Indexed keywords

DNA; HYDROGEN PEROXIDE;

ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; BIOMETRY; COMET ASSAY; DNA DAMAGE; DNA REPAIR; DRUG EFFECT; FEMALE; GENETICS; HUMAN; MALE; METHODOLOGY; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL MODEL; STATISTICS;

ANALYSIS OF VARIANCE; BAYES THEOREM; BIOMETRY; COMET ASSAY; DNA; DNA DAMAGE; DNA REPAIR; FEMALE; HUMANS; HYDROGEN PEROXIDE; MALE; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; SAMPLE SIZE; STOCHASTIC PROCESSES;

EID: 57749087171     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxn024     Document Type: Article

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