A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association study

BMC Bioinformatics

Volumn 15, Issue 17, 2014, Pages

  Chen, Zhongxue ^a   Yang, William ^b   Liu, Qingzhong ^c   Yang, Jack Y ^d,e   Li, Jing ^a   Yang, Mary Qu ^b  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF ARKANSAS AT LITTLE ROCK   (United States)

^c SAM HOUSTON STATE UNIVERSITY   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Fisher test; Lancaster method; Rare variant association test; Z test

Indexed keywords

BIOINFORMATICS; GENES; INVERSE PROBLEMS; PROBABILITY DISTRIBUTIONS;

FISHER TEST; GAMMA DISTRIBUTION; GENOME-WIDE ASSOCIATION STUDIES; LANCASTER METHOD; RARE VARIANTS; SET-BASED ANALYSIS; STATISTICAL APPROACH; UNIFORMLY MOST POWERFUL TESTS;

TESTING;

GENETIC ASSOCIATION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; CASE CONTROL STUDY; COMPARATIVE STUDY; COMPUTER SIMULATION; GENOME-WIDE ASSOCIATION STUDY; HUMAN;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, STATISTICAL;

EID: 84961653920     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-S17-S3     Document Type: Article

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