Steps for the decision making based on the statistical analyses

Autores

  • Francisco Winter dos Santos Figueiredo Laboratório de Epidemiologia e Análise de Dados, Faculdade de Medicina do ABC, Santo André
  • Fernando Adami Laboratório de Epidemiologia e Análise de dados da Faculdade de Medicina do ABC, Santo André

DOI:

https://doi.org/10.7322/jhgd.141278

Palavras-chave:

Biostatistics, Scientific research, statistical analysis

Resumo

Most researchers and students in training are uncertain or confused when they need to conclude their research based on results. However, for many reasons, they address their research questions based mainly on p-values. In this article, we present a framework for decision-making, based on statistical analyses, and describe fundamental aspects of rational decisions. Additionally, we discuss several aspects of the obtainment of scientific evidence, for example, how statistical analyses and research questions are related. Finally, we developed a step-by-step framework for decision-making based on statistical analyses. With this article, we intend to contribute to the development of research, and guide researchers and students regarding this important and neglected subject.

Referências

Baker M. Statisticians issue warning on P values Statement aims to halt missteps in the quest for certainty. Nature. 2016;531(7593):151. DOI: http://dx.doi.org/10.1038/nature.2016.19503

Nuzzo R. Statistical errors: P values, the ‘gold standard’ of statistical validity, are not as reliable as many scientists assume. Nature. 2014;506(7487):150-2. DOI: http://dx.doi.org/10.1038/506150a

Leek JP, Peng PD. P values are just the tip of the iceberg. Nature. 2015;520(7549):612. DOI: http://dx.doi.org/10.1038/520612a

Boudin F, Nie JY, Bartlett JC, Grad R, Pluye R, Dawes M. Combining classifiers for robust PICO element detection. BMC Med Infor Decision Making. 2010;10:29. DOI: https://doi.org/10.1186/1472-6947-10-29

Hauber AB, González JM, Groothuis-Oudshoorn CG, Prior T, Marshall DA, Cunningham C, et al. Statistical methods for the analysis of discrete choice experiments: a report of the ISPOR Conjoint Analysis Good Research Practices Task Force. Value Health. 2016;19(4):300-15. DOI: https://doi.org/10.1016/j.jval.2016.04.004

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Publicado

2017-12-18

Edição

v. 27 n. 3 (2017)

Seção

Artigos Originais

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