The more you test, the more you find: The smallest P-values become increasingly enriched with real findings as more tests are conducted.

Vsevolozhskaya, Olga A; Kuo, Chia-Ling; Ruiz, Gabriel; Diatchenko, Luda; Zaykin, Dmitri V

Vsevolozhskaya, Olga A; Kuo, Chia-Ling; Ruiz, Gabriel; Diatchenko, Luda; Zaykin, Dmitri V.

Afiliação

Vsevolozhskaya OA; Department of Biostatistics, University of Kentucky, Lexington, Kentucky, United States of America.
Kuo CL; Department of Community Medicine and Heath Care, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, Connecticut, United States of America.
Ruiz G; Summer Internship Program, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, USA.
Diatchenko L; The Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada.
Zaykin DV; National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina, USA.

Genet Epidemiol ; 41(8): 726-743, 2017 12.

Article em En | MEDLINE | ID: mdl-28913944

Assuntos

Modelos Genéticos; Teorema de Bayes; Estudo de Associação Genômica Ampla; Humanos; Modelos Estatísticos

Palavras-chave

Bayesian analysis; genome-wide association studies; genuine signal; multiple testing; probability of a true finding; sequencing studies; true association; variability of P-values

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Genéticos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genet Epidemiol Assunto da revista: EPIDEMIOLOGIA / GENETICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

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