Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis

Biometrics

Volumn 64, Issue 1, 2008, Pages 64-73

  Baladandayuthapani, Veerabhadran ^a   Mallick, Bani K ^b   Young Hong, Mee ^b,c   Lupton, Joanne R ^b   Turner, Nancy D ^b   Carroll, Raymond J ^b  

^a UNIVERSITY OF TEXAS   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian methods; Carcinogenesis; Functional data analysis; Hierarchical model; Markov chain Monte Carlo; Mixed models; Regression splines; Semiparametric methods; Spatial correlation

Indexed keywords

BAYESIAN NETWORKS; CHAINS; DATA HANDLING; HIERARCHICAL SYSTEMS; INFORMATION ANALYSIS; MARKOV PROCESSES; MONTE CARLO METHODS; PATHOLOGY; WHITE NOISE;

BAYESIAN METHODS; CARCINOGENESES; FUNCTIONAL DATA ANALYSIS; HIERARCHICAL MODEL; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MIXED MODELING; REGRESSION SPLINES; SEMIPARAMETRIC; SEMIPARAMETRIC METHOD; SPATIAL CORRELATIONS;

COVARIANCE MATRIX;

PROTEIN P27;

BAYESIAN ANALYSIS; CARCINOGEN; CELL ORGANELLE; CORRELATION; DATA ACQUISITION; MARKOV CHAIN; MONTE CARLO ANALYSIS; REGRESSION ANALYSIS; SPATIAL ANALYSIS;

ARTICLE; BAYES THEOREM; COLON CARCINOGENESIS; DATA ANALYSIS; MONTE CARLO METHOD; NONHUMAN; PROBABILITY; PROTEIN ANALYSIS;

RODENTIA;

EID: 39849083922     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2007.00846.x     Document Type: Article

References (34)