Information methods for model selection in linear mixed effects models with application to HCV data

Computational Statistics and Data Analysis

Volumn 55, Issue 9, 2011, Pages 2677-2697

  Dimova, Rositsa B ^a   Markatou, Marianthi ^c   Talal, Andrew H ^b  

^a Department of Medicine   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

^c IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

AIC; Linear mixed effects models; Model selection; REML information criteria

Indexed keywords

AIC; AKAIKE INFORMATION CRITERION; HEPATITIS C VIRUS; INFORMATION CRITERION; LINEAR MIXED EFFECTS MODELS; LINEAR MIXED-EFFECTS MODEL; LOG LIKELIHOOD; MODEL SELECTION; POOR PERFORMANCE; RANDOM COEFFICIENTS; RANDOM EFFECTS; REML INFORMATION CRITERIA; SIMULATION STUDIES; SMALL SAMPLES;

COVARIANCE MATRIX; DISEASES; NORMAL DISTRIBUTION; STATISTICAL TESTS; VIRUSES;

COMPUTER SIMULATION;

EID: 79956157954     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.10.031     Document Type: Article

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