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Ten Statistics Commandments That Almost Never Should Be Broken

  • Autores: Thomas R Knapp, Jean K Brown
  • Localización: Research in nursing and health, ISSN-e 1098-240X, Vol. 37, Nº. 4, 2014, págs. 347-351
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Quantitative researchers must choose among a variety of statistical methods when analyzing their data. In this article, the authors identify ten common errors in how statistical techniques are used and reported in clinical research and recommend stronger alternatives. Useful references to the methodological research literature in which such matters are discussed are provided.


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