Exploring the information in p-values for the analysis and planning of multiple-test experiments

Biometrics

Volumn 63, Issue 2, 2007, Pages 483-495

  Ruppert, David ^a   Nettleton, Dan ^b   Hwang, J T Gene ^c  

^a Cornell University   (United States)

^b Department of Statistics Center for Statistics and Applications in Forensic Evidence Iowa State University 2438 Osborn Dr Ames   (United States)

^c Department of Obstetrics Gynecology   (United States)

Author keywords

Expected discovery rate; False discovery rate; Inverse problem; Microarray; Penalty; Power and sample size; Quadratic programming; Simultaneous tests; Splines

Indexed keywords

DISTRIBUTION FUNCTIONS; GENE EXPRESSION; INVERSE PROBLEMS; STATISTICAL TESTS;

EXPECTED DISCOVERY RATE; FALSE DISCOVERY RATE; MULTIPLE TEST; NULL HYPOTHESIS; P-VALUES; PARAMETRIC MODELS; PENALTY; POWER AND SAMPLE SIZE; SIMULTANEOUS TEST; SINGLE PARAMETER;

QUADRATIC PROGRAMMING;

BARLEY; COMPARATIVE STUDY; ESTIMATION METHOD; EXPERIMENTAL STUDY; GENE EXPRESSION; SIMULATION;

ALTERNATIVE HYPOTHESIS; ARTICLE; BARLEY; BIOINFORMATICS; DENSITY FUNCTIONAL THEORY; GENE EXPRESSION; GENETIC SUSCEPTIBILITY; MICROARRAY ANALYSIS; NONHUMAN; NONPARAMETRIC TEST; NULL HYPOTHESIS; PARAMETRIC TEST; POWER ANALYSIS; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE;

HORDEUM;

EID: 34547679628     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00704.x     Document Type: Article

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