A pure likelihood approach to the analysis of genetic association data: An alternative to Bayesian and frequentist analysis

European Journal of Human Genetics

Volumn 18, Issue 8, 2010, Pages 933-941

  Strug, Lisa J ^a,b   Hodge, Susan E ^c,d   Chiang, Theodore ^a   Pal, Deb K ^e   Corey, Paul N ^b   Rohde, Charles ^f  

^a HOSPITAL FOR SICK CHILDREN   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c Columbia University ^*  (United States)

^d NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^e KING'S COLLEGE LONDON   (United Kingdom)

^f JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

evidential paradigm; multiple testing; profile likelihood

Indexed keywords

ARTICLE; BAYES THEOREM; FREQUENCY ANALYSIS; GENE LOCUS; GENETIC ASSOCIATION; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; METHODOLOGY; PRIORITY JOURNAL; ROLANDIC EPILEPSY; SAMPLE SIZE; WISTAR RAT; BIOLOGICAL MODEL; CANADA; CASE CONTROL STUDY; CHROMOSOME MAP; GENETICS; PROBABILITY; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

BAYES THEOREM; CANADA; CASE-CONTROL STUDIES; CHROMOSOME MAPPING; DATA INTERPRETATION, STATISTICAL; EPILEPSY, ROLANDIC; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, GENETIC; PROBABILITY;

EID: 77954954900     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2010.47     Document Type: Article

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