Semiparametric Bayesian modeling of random genetic effects in family-based association studies

Statistics in Medicine

Volumn 28, Issue 1, 2009, Pages 113-139

  Zhang, Li ^a   Mukherjee, Bhramar ^b   Hu, Bo ^a   Moreno, Victor ^c   Cooney, Kathleen A ^d  

^a LERNER RESEARCH INSTITUTE   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Conditional logistic regression; Dirichlet process prior; Integrated likelihood; Matched case control studies; Random effects model

Indexed keywords

PROSTATE SPECIFIC ANTIGEN;

ANTIGEN DETECTION; ARTICLE; BAYES THEOREM; CASE CONTROL STUDY; COVARIANCE; FAMILY STUDY; GENETIC CORRELATION; GENETIC RISK; HUMAN; MONTE CARLO METHOD; NONPARAMETRIC TEST; PARAMETRIC TEST; PROBABILITY; PROGENY; PROSTATE CANCER; SIMULATION; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

BAYES THEOREM; CASE-CONTROL STUDIES; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MARKOV CHAINS; MICHIGAN; MONTE CARLO METHOD; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; RISK ASSESSMENT;

EID: 61749083953     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3413     Document Type: Article

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