A likelihood-based approach to mixed modeling with ambiguity in cluster identifiers

Biostatistics

Volumn 9, Issue 4, 2008, Pages 635-657

  Foulkes, Andrea S ^a   Yucel, Recai ^a   Li, Xiaohong ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Expectation conditional maximization; Genotype; Haplotype; HIV 1; Lipids; Missing identifiers; Mixed effects models; Phenotype; Population based genetic association studies

Indexed keywords

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CARDIOVASCULAR DISEASE; CHEMICALLY INDUCED DISORDER; COMPUTER SIMULATION; DRUG EFFECT; DYSLIPIDEMIA; FEMALE; GENE FREQUENCY; GENETIC ASSOCIATION; GENETICS; GENOTYPE; HAPLOTYPE; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HISPANIC; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MALE; METHODOLOGY; PHENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; CARDIOVASCULAR DISEASES; COMPUTER SIMULATION; DYSLIPIDEMIAS; FEMALE; GENE FREQUENCY; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HAPLOTYPES; HISPANIC AMERICANS; HIV INFECTIONS; HIV-1; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MALE; MODELS, GENETIC; MODELS, STATISTICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; STATISTICAL DISTRIBUTIONS;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 52449121199     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxm055     Document Type: Article

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