Optimal sample size for multiple testing: The case of gene expression microarrays

Author

MÜLLER, Peter¹ ; PARMIGIANI, Giovanni² ; ROBERT, Christian^{3 4} ; ROUSSEAU, Judith^{3 5}
[1] Department of Biostatistics, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, United States
[2] Department of Oncology, Biostatistics and Pathology, Johns Hopkins University, Baltimore, MD 21205, United States
[3] CREST, INSEE, France
[4] CERE-MADE, Université Paris Dauphine, France
[5] Université René Descartes, Paris, France

Source

Journal of the American Statistical Association. 2004, Vol 99, Num 468, pp 990-1001, 12 p ; ref : 33 ref

CODEN

JSTNAL

ISSN

0162-1459

Scientific domain

Mathematics

Publisher

American Statistical Association, Alexandria, VA

Publication country

United States

Document type

Article

Language

English

Keyword (fr)

Analyse sensibilité Application Apprentissage Chaîne Markov Comparaison multiple Conditionnement Décision multiple Echantillonnage Estimation densité Fonction perte Loi a posteriori Loi a priori Loi conditionnelle Loi grand nombre Loi marginale Loi probabilité Méthode Monte Carlo Méthode statistique Probabilité a priori Problème sélection Règle décision Simulation Taille échantillon Test hypothèse Test statistique Théorie décision 60J10 60J20 62C05 62D05 62E17 62F03 62F07 62G10 62H15 62J15 62J20 Diagnostic statistique Espérance utilité Modèle hiérarchique

Keyword (en)

Sensitivity analysis Application Learning Markov chain Multiple comparison Conditioning Multiple decision Sampling Density estimation Loss function Posterior distribution Prior distribution Conditional distribution Law of large numbers Marginal distribution Probability distribution Monte Carlo method Statistical method Prior probability Selection problem Decision rule Simulation Sample size Hypothesis test Statistical test Decision theory Statistical diagnostics Expected utility Hierarchical model

Keyword (es)

Análisis sensibilidad Aplicación Aprendizaje Cadena Markov Comparación múltiple Acondicionamiento Decisión múltiple Muestreo Estimación densidad Función pérdida Ley a posteriori Ley a priori Ley condicional Ley gran número Ley marginal Ley probabilidad Método Monte Carlo Método estadístico Probabilidad a priori Problema selección Regla decisión Simulación Tamaño muestra Test hipótesis Test estadístico Teoría decisión

Classification

Pascal

001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics

Pascal

001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02E Sampling theory, sample surveys

Pascal

001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression

Pascal

001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02N Applications

Discipline

Mathematics

Origin

Inist-CNRS

Database

PASCAL

INIST identifier

16304654

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