Bayesian quantile regression for longitudinal studies with nonignorable missing data

Biometrics

Volumn 66, Issue 1, 2010, Pages 105-114

  Yuan, Ying ^a   Yin, Guosheng ^a  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Bayesian inference; Informative missing data; Nonignorable dropout; Penalized function; Random effects; Repeated measures; Shared parameter model

Indexed keywords

BAYESIAN NETWORKS; RANDOM PROCESSES; REGRESSION ANALYSIS;

BAYESIAN INFERENCE; INFORMATIVE MISSING DATA; MISSING DATA; NONIGNORABLE DROPOUT; PARAMETER MODEL; PENALIZED FUNCTIONS; QUANTILE REGRESSION; RANDOM EFFECTS; REPEATED MEASURES; SHARED-PARAMETER MODEL;

INFERENCE ENGINES;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; BAYESIAN ANALYSIS; DATA SET; ERROR ANALYSIS; MODEL TEST; NUMERICAL MODEL; PARAMETERIZATION; POPULATION STRUCTURE; REGRESSION ANALYSIS; SHRINKAGE; SLOPE;

ALGORITHM; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; EPIDEMIOLOGY; INFORMATION RETRIEVAL; LONGITUDINAL STUDY; PROCEDURES; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; BIOMETRY; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; INFORMATION STORAGE AND RETRIEVAL; LONGITUDINAL STUDIES; MODELS, STATISTICAL; SAMPLE SIZE;

EID: 77949724484     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01269.x     Document Type: Article

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