Robustness of the linear mixed effects model to error distribution assumptions and the consequences for genome-wide association studies

Statistical Applications in Genetics and Molecular Biology

Volumn 13, Issue 5, 2014, Pages 567-587

  Warrington, Nicole M ^a,b   Tilling, Kate ^c,d   Howe, Laura D ^c,d   Paternoster, Lavinia ^c,d   Pennell, Craig E ^a   Wu, Yan Yan ^e   Briollais, Laurent ^e  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

^e MOUNT SINAI HOSPITAL   (Canada)

Author keywords

ALSPAC; genome wide association; longitudinal studies; misspecificiation; mixed model; robustness

Indexed keywords

AGE; ANALYTICAL ERROR; ARTICLE; BODY MASS; CHROMOSOME ANALYSIS; GENE FREQUENCY; GENETIC ASSOCIATION; HEREDITY; HUMAN; LINEAR MIXED EFFECTS MODEL; MAXIMUM LIKELIHOOD METHOD; PROBABILITY; SAMPLE SIZE; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL BIAS; TIME; CHROMOSOME 6; LONGITUDINAL STUDY; THEORETICAL MODEL;

BODY MASS INDEX; CHROMOSOMES, HUMAN, PAIR 6; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LONGITUDINAL STUDIES; MODELS, THEORETICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; PROBABILITY;

EID: 84907811279     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2013-0066     Document Type: Article

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