Bayesian variable selection with joint modeling of categorical and survival outcomes: An application to individualizing chemotherapy treatment in advanced colorectal cancer

Biometrics

Volumn 65, Issue 4, 2009, Pages 1030-1040

  Chen, Wei ^a   Ghosh, Debashis ^b   Raghunathan, Trivellore E ^c   Sargent, Daniel J ^d  

^a WAYNE STATE UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^d MAYO CLINIC   (United States)

Author keywords

Bayesian multivariate regression; Biomarker; Hierarchical model; Interaction; Latent variable; Oncology

Indexed keywords

CHEMOTHERAPY; CLASSIFICATION (OF INFORMATION); COVARIANCE MATRIX; DISEASES; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; REGRESSION ANALYSIS; SAMPLING;

BAYESIAN; BAYESIAN MULTIVARIATE REGRESSION; BAYESIAN VARIABLE SELECTION; CHEMOTHERAPY TREATMENT; HIERARCHICAL MODEL; INTERACTION; JOINT MODELS; LATENT VARIABLE; MULTIVARIATE REGRESSION; NEW CASE;

BIOMARKERS;

ANTINEOPLASTIC AGENT; TUMOR MARKER;

BAYESIAN ANALYSIS; BIOMARKER; CANCER; CHEMOTHERAPY; HIERARCHICAL SYSTEM; MONTE CARLO ANALYSIS; MORTALITY; SURVIVAL;

ADULT; ADVANCED CANCER; ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; CANCER CHEMOTHERAPY; CANCER GRADING; CANCER SURVIVAL; COLORECTAL CANCER; CONTROLLED STUDY; DEHYDRATION; DIARRHEA; FEBRILE NEUTROPENIA; FEMALE; FINITE ELEMENT ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NAUSEA; NEUTROPENIA; OUTCOME ASSESSMENT; PARESTHESIA; PREDICTION; PROBABILITY; SIMULATION; STATISTICAL ANALYSIS; TUMOR GROWTH; VOMITING;

EID: 70450231563     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01181.x     Document Type: Article

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