Rioja or Ribera? Frequentist vs Bayesian statistics.

Authors

  • Manuel Molina Gastroenterology Service. University Children's Hospital La Paz Madrid, Spain.

DOI:

https://doi.org/10.30445/rear.v12i10.892

Keywords:

Frequentist statistics, Bayesian statistics, sample size, hypothesis contrast, statistical significance

Abstract

Frequentist statistics, the best known and to which we are most accustomed, is the one that is developed according to the classic concepts of probability and hypothesis testing. For its part, Bayesian statistics incorporates external information into the study that is being carried out, so that the probability of a certain event can be modified by the previous information that we have on the event in question. We review some of the arguments against the frequentist approach, which are based on a misuse of its methodology rather than on the method's own weaknesses.

 

Author Biography

Manuel Molina, Gastroenterology Service. University Children's Hospital La Paz Madrid, Spain.

Especialista en Pediatrí­a y sus áreas Especí­ficas desde 1991. Actualmente ejerzo en el Servicio de Gastroenterologí­a del Hospital Infantil Universitario La Paz, de Madrid.
Además, pertenezco al Grupo de Trabajo de Pediatrí­a Basada en la Evidencia, grupo compartido entre la Asociación Española de Pediatrí­a y la Asociación Española de Pediatrí­a de Atención Primaria.

References

- Silva LC, Muñoz A. Debate sobre métodos frecuentistas vs bayesianos. Gac Sanit.2000;14:482-94.

- Silva LC, Benavides A. El enfoque bayesiano: otra manera de inferir. Gac Sanit.2001;15:341-6.

- Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN, et al. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol.2016;31:337-50.

Published

2020-11-11

How to Cite

Molina, M. (2020). Rioja or Ribera? Frequentist vs Bayesian statistics. Revista Electrónica AnestesiaR, 12(10). https://doi.org/10.30445/rear.v12i10.892

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