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Persistent confusion in nutrition and obesity research about the validity of classic nonparametric tests in the presence of heteroscedasticity: evidence of the problem and valid alternatives.
Kroeger, Cynthia M; Ejima, Keisuke; Hannon, Bridget A; Halliday, Tanya M; McComb, Bryan; Teran-Garcia, Margarita; Dawson, John A; King, David B; Brown, Andrew W; Allison, David B.
Afiliação
  • Kroeger CM; Charles Perkins Centre, Central Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
  • Ejima K; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
  • Hannon BA; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
  • Halliday TM; Division of Nutritional Sciences, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
  • McComb B; Department of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, UT, USA.
  • Teran-Garcia M; Division of Biostatistics, New York University School of Medicine, New York, NY, USA.
  • Dawson JA; Division of Nutritional Sciences, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
  • King DB; Department of Nutritional Sciences, Texas Tech University, Lubbock, TX, USA.
  • Brown AW; Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
  • Allison DB; Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Am J Clin Nutr ; 113(3): 517-524, 2021 03 11.
Article em En | MEDLINE | ID: mdl-33515017
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Estatísticas não Paramétricas / Ciências da Nutrição / Obesidade Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Estatísticas não Paramétricas / Ciências da Nutrição / Obesidade Idioma: En Ano de publicação: 2021 Tipo de documento: Article