Elements to avoid mistakes in the design of research in health sciences
DOI:
https://doi.org/10.54495/Rev.Cientifica.v26i1.84Keywords:
Consistency research, statistical tool, internal validity, methodological errors, statistical errorsAbstract
Statistics and methodological rigor should guide a research in the whole process in order to assure the research coherence. The lack of knowledge and the appropriate use of statistical a methodological tools becomes to researches with doubts about internal validity, showed in systematic mistakes and other kind of mistakes. In this article needed elements were systematically examined to avoid these mistakes especially in the design phase of a research, talking in the context of health sciences. These topics were
focused in critical form and using several examples of real researches. Once a research problem is correctly set, a design will be chose, the one that is most protected of possible bias. The sampling must assure the representativeness and appropriateness of the sample size, as well as an accurate definition of selection criteria. To apply a statistical tool it is necessary to evaluate: the type and scale of dependent and independent variables, quantity and rate of independence of comparison groups, extent and research type, among others.
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References
Altman, D. (1998). Statical reviewing for medical journals. Statistics in Medicine, 17, 2661–2674. https://doi.org/10.1002/(SICI)1097-0258(19981215)17:23<2661::AID-SIM33>3.0.CO;2-B DOI: https://doi.org/10.1002/(SICI)1097-0258(19981215)17:23<2661::AID-SIM33>3.0.CO;2-B
Altman, D., Machin, D., Bryant, T. (2000). Statistics with Confidence (2da. Ed.). Brístol: British Medical Journal.
Argimon Pallas, J., & Jiménez Villa, J. (2000). Métodos de investigación clínica y epidemiológica (3da. Ed.). Madrid: Elsevier. https://doi.org/10.1016/B978-84-8174-709-6.50001-4 DOI: https://doi.org/10.1016/B978-84-8174-709-6.50001-4
Baptist, J., Röhrig, B., Hommel, G., & Blettner, M. (2010). Choosing Statistical Tests. Deutsches Ärzteblatt International, 107(19).
Barton, B., & Peat, J. (2014). Medical statistics: A guide to SPSS, data analysis and critical appraisal (2da. Ed.). Chichester: BMJ Books.
Bethlehem, J. (2009). Applied survey methods: A statistical perspective. New Jersey: John Wiley & Sons, Inc. https://doi.org/10.1002/9780470494998 DOI: https://doi.org/10.1002/9780470494998
Blair, C., y Taylor, R. (2008). Bioestadística. México: Pearson Educación, S.A.
Bluman, A. (2009). Elementary Statistics: A step by step approach (7ma. Ed.). New York: Mc Graw Hill.
Bonita, R., Beaglehole, R., & Kjellström, T. (2006). Basic Epidemiology (2da. Ed.). Geneva: World Health Organization.
Cárdenas, M., & Arancibia, H. (2014). Potencia estadística y cálculo de tamaño de efecto en G*Power: Complementos a las pruebas de significación estadística y su aplicación en Psicología. Salud y Sociedad, 5(2), 210–224. https://doi.org/10.22199/S07187475.2014.0002.00006 DOI: https://doi.org/10.22199/S07187475.2014.0002.00006
Catena, A., Ramos, M., & Trujillo, H. (2003). Análisis multivariado: Un manual para investigadores. Madrid: Biblioteca Nueva.
Cobo, E., Muñoz, P., & González, J. (2007). Bioestadística para no estadísticos: Bases para interpretar artículos científicos. Barcelona: Elsevier Masson.
Cumming, G. (2014). Understanding the new Statistics: Effect sizes, confidence intervals, and meta-analysis. New York: Routledge. https://doi.org/10.4324/9780203807002 DOI: https://doi.org/10.4324/9780203807002
Daniel, W., & Chad, C. (2013). Biostatistics: A Foundation for Analysis in the Health Sciences (2da. Ed.). New Jersey: John Wiley & Sons.
Datallo, P. (2008). Determining sample size: Balancing, power, precision and practicality. New York: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195315493.001.0001 DOI: https://doi.org/10.1093/acprof:oso/9780195315493.001.0001
De Shea, L., & Toothaker, L. (2015). Introductory Statistics for the Health Sciences. Boca Raton, Florida: CRC Press. https://doi.org/10.1201/b18271 DOI: https://doi.org/10.1201/b18271
Elorza, H. (2008). Estadística para las ciencias sociales, del comportamiento y de la salud (3ra. Ed.). México, D.F.: Cengage Learning.
Ercan, I., Yazici, B., Yang, Y., Ozkaya, G., Cangur, S., Ediz, B., Y Kan, I. (2007). Misusage of Statistics in Medical Reserch. European Journal of General Medicine, 4(3), 128–134. https://doi.org/10.29333/ejgm/82507 DOI: https://doi.org/10.29333/ejgm/82507
Fletcher, R., Fletcher, S., & Wagner, E. (1998). Epidemiología Clínica: Aspectos fundamentales (2da. Ed.). Barcelona: Masson.
Forthofer, R., Lee, E., & Hernandez, M. (2007). Biostatistics: A Guide to Design, Analysis and Discovery. (2da. Ed.). Boston: Elsevier, Academic Press.
Frías, M., Pascual, J., & García, J. (2000). Tamaño del efecto del tratamiento y significación Estadística. Psicothema, 12(2), 236–240.
García, J., López, J., Jiménez, F., Ramírez, Y., Lino, L., & Reding, A. (2014). Metodología de la investigación: Bioestadística y bioinformática en ciencias médicas y de la salud (2da. Ed.). México, D.F.: Mc Graw Hill Education.
Geoffrey, N., y Streiner, D. (2014). Biostatistics: The Bare Essentials with SPSS (4ta. Ed.). Londres: PMPH-USA Limited.
Glantz, S. (2006). Bioestadística (6ta. Ed.). México, D.F.: Mc Graw Hill.
Gómez, M., Danglot, C., & Vega, L. (2013). Cómo seleccionar una prueba estadística (Primera de dos partes). Revista Mexicana de Pediatría, 80, 30–34.
Gonin, R., Fisher, L. D., & Van Belle, G. (2004). Biostatistics: A Methodology for the Health Sciences. (2da. Ed.). New York: Wiley.
Gordis, L. (2014). Epidemiology (5ta. Ed.). Philadelphia: Elsevier Saunders.
Guyatt, G., Rennie, D., Meade, M., & Cook, D. (2008). Users’ guides to the medical literature: Essential of evidence-based clinical practice (2ta. Ed.). New York: Mc Graw-Hill Medical / JAMAevidence.
Hair, J., Anderson, R., Tatham, R., & Black, W. (1999). Análisis Multivariante (5ta. Ed.). Madrid: Prentice Hall Iberia.
Hanif, A., & Ajmal, T. (2011). Statistical errors in medical journals: A critical appraisal. Annals, 17(2), 178-182.
Henquin, R. (2013). Epidemiología y Estadística para principiantes. Buenos Aires: Corpus.
Hernández Ávila, M. (2007). Epidemiología: Diseño y análisis de estudios. México, D.F.: Editorial Médica Panamericana. https://doi.org/10.1097/01.ede.0000289060.35648.53 DOI: https://doi.org/10.1097/01.ede.0000289060.35648.53
Jaykaran. (2010). How to select appropriate statistical test? Journal of Pharmaceutical Negative Results, 1(2), 61. https://doi.org/10.4103/0976-9234.75708 DOI: https://doi.org/10.4103/0976-9234.75708
Johnson, D. (2000). Métodos multivariados aplicados al análisis de datos. México, D.F.: Thompson Editores.
Johnson, R., & Bhattacharyya, G. (2010). Statistics: principles and methods (6ta. Ed.). New Jersey: John Wiley & Sons, Inc.
Johnson, R., & Kuby, P. (2004). Estadística elemental: lo esencial (3ta. Ed.). México, D.F.: Thompson Learning.
Johnson, R., & Wichern, D. (2007). Applied multivariate statistical analysis (6ta. Ed.). New Jersey: Pearson Education, Inc.
Juez, P., & Diez, F. (1997). Probabilidad y Estadística en medicina. Madrid: Diaz de Santos.
Kraska, M. (2014). Nonparametric Statistics for social and behavioral sciences. Boca Raton, Florida: CRC Press.
Lang, T. (2004). Twenty statical errors even you can find in biomedical research articles. Croatian Medical Journal, 45(4), 370–2004.
Lohr, S. (2000). Muestreo: Diseño y análisis. México, D.F.: Thompson Editores.
Londoño, J. L. (2010). Metodología de la investigación epidemiológica (4ta. Ed.). Bogotá: El Manual Moderno.
Lwanga, S., & Lemeshow, S. (1991). Determinación del tamaño de las muestras en los estudios sanitarios: Manual práctico. Ginebra: Organización Mundial de la Salud.
Moreno Altamirano, L. (2013). Epidemiología clínica. México, D.F.: Mc Graw Hill.
Pagano, M., & Gauvreau, K. (2001). Fundamentos de Bioestadística (2da. Ed.). México, D.F.: Thompson Learning.
Pagano, R. (2013). Understanding Statistics in the behavioral sciences (2da. Ed.). California: Wadsworth CENGACE Learning.
Peacock, J., & Peacock, P. (2011). Oxford handbook of medical statistics. Oxford: Oxford University Press. DOI: https://doi.org/10.1093/med/9780199551286.001.0001
Peña, D. (2002). Análisis multivariante de datos. Madrid: Mc Graw-Hill / Interamericana.
Pérez, C. (2004). Técnicas de análisis multivariante de datos: Aplicaciones con SPSS®. Madrid: Pearson Educación, S.A.
Pineda, E., & De Alvarado, E. L. (2008). Metodología de la investigación (3ra. Ed.). Washington, D.C.: Organización Panamericana de la Salud.
Prajapati, B., Dunne, M., & Armstrong, R. (2010). Sample size estimation and statistical power analyses. Optometry Today, 50, 1–9.
Ruiz, A., & Morillo, L. (2004). Epidemiología clínica: Investigación clínica aplicada. Bogotá: Editorial Médica Panamericana.
Scheaffer, R., Mendenhall, W., & Ott, L. (1987). Elementos de muestreo. México, D.F.: Grupo Editorial Iberoamérica.
Schroter, S., Nick, B., Evans, S., Goodlee, F., Osorio, L., & Richard, S. (2008). What errors do peer reviewers detect, and does training improve their ability to detect them? Journal of the Royal Society of Medicine, 101(19), 507–514. https://doi.org/10.1258/jrsm.2008.080062 DOI: https://doi.org/10.1258/jrsm.2008.080062
Sheskin, D. (2004). Handbook of parametric and nonparametric statistical procedures (3ra. Ed.). Boca Raton FL.: Chapman & Hall/CRC. https://doi.org/10.1201/9781420036268 DOI: https://doi.org/10.1201/9781420036268
Siegel, S. (1970). Estadística no paramétrica: aplicada a las ciencias de la conducta. México, D.F.: Editorial Trillas.
Silva, L. (1997). Cultura estadística e investigación científica en el campo de la salud: Una mirada crítica. Madrid: Diaz de Santos.
Stopher, P. (2012). Collecting, managing, and assesing data: Using sample surveys. New York: Cambridge University Press. https://doi.org/10.1017/CBO9780511977893 DOI: https://doi.org/10.1017/CBO9780511977893
Strasak, A., Zaman, Q., Pfeiffer, K., Gobel, G., & Ulmer, H. (2007). Statistical errors in medical research: A review of common pitfalls. Swiss Medical WKLY, 137, 44–49.
Szklo, M., & Nieto, J. (2003). Epidemiología intermedia: Conceptos y aplicaciones. Madrid: Diaz de Santos.
Velasco Rodríguez, V., Martínez Ordaz, V., Roiz Hernández, J., Huazano García, F., & Nieves Rentería, A. (2002). Muestreo y tamaño de muestra: Una guía práctica vpara personal de salud que realiza investigación. Buenos Aires: e-libro.net.
Villa Romero, A., Moreno Altamirano, L., & García de la Torre, G. (2012). Epidemiología y Estadística en salud pública. México, D.F.: Mc Graw Hill.
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