medigraphic.com

2015, Number 1

<< Back Next >>

Revista Cubana de Angiología y Cirugía Vascular 2015; 16 (1)

Procedures for the confidence interval estimation in biomedical research studies

Arpajón PY, Sosa PAL

Language: Spanish
References: 15
Page: 92-100
PDF size: 105.81 Kb.


ABSTRACT

In all biomedical research studies, daily clinical and epidemiological reports are made, so it is necessary to know perfectly well what should be reported and how to do it. The objective of this paper was to describe the advantages of the estimation of the confidence intervals for the right interpretation of results in the scientific research studies. A review of textbooks of biostatistics and statistics for health care was made in addition to scientific articles collected in Scielo, MedLine and PubMed and published from 2004 to 2014. For the search in electronic databases, the used subject headings were confidence intervals, health statistics, point estimators and hypothesis comparisons. In most of the reviewed documents, we found that the best way of presenting the statistical significance of the results is through the 95% confidence intervals. The most used methods for their estimations in descriptive, inferential, clinical and epidemiological research studies were presented in this paper. The confidence intervals estimation is a solid and easy-to-apply method, provides greater robustness to any research analysis since it evaluates the range in which the real value probably lies, and therefore, allows making better interpretation and application of the results.


REFERENCES

  1. Comité Internacional de Editores de Revistas Médicas (ICMJE). Requisitos de uniformidad para manuscritos enviados a revistas biomédicas: Redacción y preparación de la edición de una publicación biomédica. Rev Cubana Salud Pública. 2012 [citado 30 Abr 2014];38(2):300-43. Disponible en: http://www.scielo.sld.cu/pdf/rcsp/v38n2/spu14212.pdf

  2. Limón J, Rodríguez M, Báez Y, Tlapa D. Evaluación de la robustez del sistema Mahalanobis-Taguchi a diferentes arreglos factoriales. Información Tecnológ. 2011;22(4):85-96.

  3. Limón J, Rodríguez M, Sánchez J, Tlapa D- Metodología bayesiana para la optimización simultánea de múltiples respuestas. Información Tecnológ. 2012; 23(2):151-66.

  4. Campbell G. Guidance for Industry and FDA Staff Guidance for the use of Bayesian statistics in medical device clinical trials. 2010 [citado 15 Ene 2014]. Disponible en: http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/Guidan ceDocuments/ucm071121.pdf

  5. Feinsinger P. Lo que es, lo que podría ser y el análisis e interpretación de los datos de un estudio de campo. Ecol Bolivia. 2012;47(1):1-6.

  6. Silva-Ayçaguer LC, Suárez-Gil P, Fernández-Somoano A. 2010. The null hypothesis significance test in health sciences research (1995-2006): statistical analysis and interpretation. BMC Medical Research Methodology. 2010 [citado 15 Ene 2014];(10). Disponible en: http://www.biomedcentral.com/1471-2288/10/44

  7. Van Belle G, Lloyd F, Heagerty P, Lumley T. Point and Interval Estimates. En: Balding D, Cressie N, Fisher N, editores. Biostatistics: a methodology for the health sciences. EE. UU.:John Wiley and Sons, Inc.; 2004. p. 85-7.

  8. Campos A, Ceballo G, Herazo E. Prevalence of pattern of risky behaviors for reproductive and sexual health among middle- and high-school students. Rev Latino- Am Enfermagem. 2010 [citado 15 Ene 2014];18(2). Disponible en: http://www.dx.doi.org/10.1590/S0104-11692010000200005

  9. Escrig J, Miralles J, Martínez D, Rivadulla I. Intervalos de confianza: por qué usarlos. Cir Esp. 2007;81(3):121-5.

  10. Tajer C. Ensayos terapéuticos, significación estadística y relevancia clínica. Rev Argent Cardiol. 2010 [citado 10 Ene 2014];78(4). Disponible en: http://www.scielo.org.ar/scielo.php?pid=S1850- 37482010000400019&script=sci_arttext

  11. Kaul S, Diamond G. Trial and error how to avoid commonly encountered limitations of published clinical trials. J Am Coll Cardiol. 2010;55:415-27.

  12. Newcombe R, Merino C. Intervalos de confianza para las estimaciones de proporciones y las diferencias entre ellas. Interdisciplinaria. 2006;23(2):141-54.

  13. Clark M. Los valores P y los intervalos de confianza: ¿en qué confiar? Rev Panam Salud Pública. 2004 [citado 21 Ene 2014];15(5). Disponible en: http://www.dx.doi.org/10.1590/S1020-49892004000500001

  14. Fay M. Confidence intervals that match Fisher's exact or Blaker's exact tests. Biostat. 2010;11(2):373-4.

  15. Sarria Castro M, Silva Ayçaguer LC. Las pruebas de significación estadística en tres revistas biomédicas en lengua española: una revisión crítica. Rev Panam Salud Pública. 2004;15(5):300-6




2020     |     www.medigraphic.com