Computing power and sample size for case-control association studies with copy number polymorphism: Application of mixture-based likelihood ratio test

PLoS ONE

Volumn 3, Issue 10, 2008, Pages

  Kim, Wonkuk ^a   Gordon, Derek ^b   Sebat, Jonathan ^c   Ye, Kenny Q ^d   Finch, Stephen J ^e  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c Howard Hughes Medical Institute Cold Spring Harbor Laboratory Cold Spring Harbor   (United States)

^d ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^e Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CASE CONTROL STUDY; CAUCASIAN; CHI SQUARE TEST; CONTROLLED STUDY; COPY NUMBER POLYMORPHISM; ETHNICITY; GENE DUPLICATION; GENE FREQUENCY; GENETIC DISORDER; GENETIC IDENTIFICATION; GENETIC POLYMORPHISM; GENETIC SUSCEPTIBILITY; GENETIC VARIABILITY; HUMAN; MICROARRAY ANALYSIS; POWER ANALYSIS; PROBABILITY; QUANTITATIVE ANALYSIS; SAMPLE SIZE; STATISTICS; TAIWAN; CHI SQUARE DISTRIBUTION; COMPARATIVE STUDY; EVALUATION; GENE DOSAGE; STATISTICAL MODEL;

CASE-CONTROL STUDIES; CHI-SQUARE DISTRIBUTION; GENE DOSAGE; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; POLYMORPHISM, GENETIC; SAMPLE SIZE;

EID: 55849140187     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0003475     Document Type: Article

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