Keywords
Diseño de investigación
Tamaño de la muestra
Sesgos
Análisis de datos Cross-sectional studies
Research design
Sample size
Bias
Data interpretation
How to Cite
Abstract
One of the main problems of clinical research lies in the difficulty in selecting the best design to give an answer to the problem of research - which can trigger in vain efforts to address and resolve the problem. The selection of the best design basically depends on the research question, the objectives and the assumption to contrast. We present the key aspects related with the kind of question that respond, bias, sample size and analysis plan should be considered a priori in the selection of cross-sectional design.
References
Gerstman BB. Epidemiology Kept Simple: an introduction to traditional and modern epidemiology. 3rd Ed. San José: Wiley; 2013.
Rothman KJ. Epidemiology: an introduction. 2nd Ed. New York: Oxford university press; 2012.
Oleske D. Epidemiology and the delivery of health care services: Methods and applications. New York: Springer Science & Business Media; 2001. https://doi.org/10.1007/b112328
Argimon Pallas JM, Jiménez Villa J. Métodos de investigación clínica y epidemiológica. 3rd Ed. Elsevier: Madrid; 2000. https://doi.org/10.1016/B978-84-8174-709-6.50001-4
Woodward M. Epidemiology: study design and data analysis. 3rd Ed. Chapman and Hall/CRC: Florida; 2013. https://doi.org/10.1201/b16343
Mendivelso FO, Rodríguez M. Independence Chi-Square Test Applied to 2xN Tables. Revista Médica Sanitas. 2018;21:92-5. https://doi.org/10.26852/01234250.6
Tu Y-K, Greenwood DC. Modern methods for epidemiology: Springer Science & Business Media: New York; 2012. https://doi.org/10.1007/978-94-007-3024-3
Fluss R, Mandel M, Freedman LS, Weiss IS, Zohar AE, Haklai Z, et al. Correction of sampling bias in a cross-sectional study of post-surgical complications. Statistics in medicine. 2013;32(14):2467-78. https://doi.org/10.1002/sim.5608