Quantitative methods: Sample size calculation with STATA and R

Authors

  • Antonio M. Quispe Médico Epidemiólogo
  • Diego F. Pinto Estudiante de Medicina
  • Mariella R. Huamán Estudiante de Medicina
  • Gilda M. Bueno Médico Cirujano
  • Andree Valle-Campos Biólogo, Epidemiólogo

DOI:

https://doi.org/10.35434/rcmhnaaa.2020.131.627

Keywords:

Sample Size, Epidemiologic Research Design, effect size, Stata, R

Abstract

The calculation of sample size is an essential aspect of the design of quantitative studies. An adequate sample size allows us to determine the minimum number of participants necessary to test our hypothesis of interest. Hence, we can reduce costs, maximize the use of our research resources and guarantee the feasibility of the study. Contradictorily, despite its relevance, very few researchers dominate this skill. This review aims to review the basics of sample size calculation and share Stata and R codes specifically designed to facilitate these calculations.

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Author Biographies

Antonio M. Quispe, Médico Epidemiólogo

  1. Universidad Continental, Huancayo, Perú.

Diego F. Pinto, Estudiante de Medicina

  1. Sociedad Científica de San Fernando, Universidad Nacional Mayor de San Marcos, Lima, Perú.

Mariella R. Huamán, Estudiante de Medicina

  1. Sociedad Científica de San Fernando, Universidad Nacional Mayor de San Marcos, Lima, Perú.

Gilda M. Bueno, Médico Cirujano

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

Andree Valle-Campos, Biólogo, Epidemiólogo

  1. Universidad Nacional Mayor de San Marcos, Lima, Perú.

Published

2020-06-03

How to Cite

1.
Quispe AM, Pinto DF, Huamán MR, Bueno GM, Valle-Campos A. Quantitative methods: Sample size calculation with STATA and R. Rev. Cuerpo Med. HNAAA [Internet]. 2020 Jun. 3 [cited 2024 Nov. 22];13(1):78-83. Available from: https://cmhnaaa.org.pe/ojs/index.php/rcmhnaaa/article/view/627

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