Bayesian models for multiple outcomes nested in domains

Biometrics

Volumn 65, Issue 4, 2009, Pages 1078-1086

  Thurston, Sally W ^a   Ruppert, David ^b   Davidson, Philip W ^c  

^a UNIVERSITY OF ROCHESTER   (United States)

^b School of Operations Research and Industrial Engineering   (United States)

^c UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

Domains; Markov chain Monte Carlo; Methylmercury; Multiple outcomes; Seychelles Child Development Study

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; MERCURY COMPOUNDS;

BAYESIAN MODELLING; CHILD DEVELOPMENT STUDIES; DOMAIN; LINEAR MIXED MODELS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; METHYL MERCURY; METHYLMERCURY; MULTIPLE OUTCOME; SEYCHELLES CHILD DEVELOPMENT STUDY;

SHRINKAGE;

METHYLMERCURY;

BAYESIAN ANALYSIS; CHILD DEVELOPMENT; COVARIANCE ANALYSIS; MARKOV CHAIN; METHYLMERCURY; MONTE CARLO ANALYSIS; NESTING;

ARTICLE; BAYES THEOREM; BEHAVIOR; CHILD; CHILD DEVELOPMENT; COGNITION; HUMAN; MEASUREMENT; MEMORY; METHODOLOGY; MOTOR ACTIVITY; OUTCOME ASSESSMENT; SCHOOL CHILD; SIMULATION; STATISTICAL MODEL;

EID: 70450248388     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01224.x     Document Type: Article

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