Semiparametric Bayesian inference for multilevel repeated measurement data

Biometrics

Volumn 63, Issue 1, 2007, Pages 280-289

  Müller, Peter ^a   Quintana, Fernando A ^b   Rosner, Gary L ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

Author keywords

Bayesian nonparametrics; Dirichlet process; Hierarchical model; Repeated measurement data

Indexed keywords

CHEMOTHERAPY; HIERARCHICAL SYSTEMS; INFERENCE ENGINES; RANDOM PROCESSES;

BAYESIAN INFERENCE; BAYESIAN NONPARAMETRICS; DIRICHLET PROCESS; HIERARCHICAL MODEL; MEASUREMENT DATA; NONPARAMETRICS; RANDOM EFFECTS; REPEATED MEASUREMENT DATA; REPEATED MEASUREMENTS; SEMIPARAMETRIC;

BAYESIAN NETWORKS;

BAYESIAN ANALYSIS; BLOOD; CANCER; DATA; MEASUREMENT METHOD; MODELING; SAMPLING;

BAYES THEOREM; BLOOD CELL COUNT; CANCER COMBINATION CHEMOTHERAPY; CANCER PATIENT; CLUSTER ANALYSIS; HUMAN; INFORMATION PROCESSING; MEASUREMENT; RANDOMIZATION; REGRESSION ANALYSIS; REVIEW; SIMULATION; STATISTICAL MODEL;

EID: 34247241595     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00668.x     Document Type: Review

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