Scientific Writing Series: Cross-Sectional studies

Authors

  • Antonio M. Quispe Médico Epidemiólogo
  • Elvis B. Valentin Estudiante de Medicina
  • Ana R. Gutierrez Estudiante de Medicina
  • Juan D. Mares Estudiante de Medicina

DOI:

https://doi.org/10.35434/rcmhnaaa.2020.131.626

Keywords:

Cross-sectional studies, Epidemiologic Research Design, Bias, Confounding, Software

Abstract

Cross-sectional studies are characterized by the simultaneous measurement of exposure and the outcome of interest. They are the ideal design to estimate prevalence, analyze the diagnostic accuracy of a test and validate instruments, for which it is essential to control information bias, selection, and confusion either by design or by analysis. It is also crucial to choose the appropriate association measure for each outcome of interest, call the odds ratio for rare events, and the prevalence ratio for frequent events. Finally, for its writing and publication, it is recommended to review the STROBE and STARD guidelines.

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Author Biographies

Antonio M. Quispe, Médico Epidemiólogo

  1. Universidad Continental, Huancayo, Perú.

Elvis B. Valentin, Estudiante de Medicina

  1. Facultad de Medicina Humana, Universidad Nacional José Faustino Sánchez Carrión, Huacho, Perú.

Ana R. Gutierrez, Estudiante de Medicina

  1. Facultad de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Perú.

Juan D. Mares, Estudiante de Medicina

  1. Facultad de Medicina Humana, Universidad Nacional de San Agustín, Arequipa, Perú.

Published

2020-06-03

How to Cite

1.
Quispe AM, Valentin EB, Gutierrez AR, Mares JD. Scientific Writing Series: Cross-Sectional studies. Rev. Cuerpo Med. HNAAA [Internet]. 2020 Jun. 3 [cited 2024 Nov. 22];13(1):72-7. Available from: https://cmhnaaa.org.pe/ojs/index.php/rcmhnaaa/article/view/626

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