How to Determine the Sample Size Needed to Test Our Research Hypothesis?

Authors

DOI:

https://doi.org/10.52787/agl.v55i3.540

Keywords:

Sample size, statistic inference, hypothesis testing, statistical power

Abstract

In clinical research, the validity of the results depends not only on clearly defining our research question and choosing an appropriate design, but also on having an optimal sample size.

References

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-2. Machin D, Campbell MJ, Tan SB, Tan SH. Sample sizes for clinical, laboratory and epidemiology studies. 4th ed. Chichester (UK): John Wiley & Sons; 2018.

-3. Russell V Lenth (2001) Some Practical Guidelines for Effective Sample Size Determination, The American Statistician, 55:3, 187-193.

-4. Hoenig JM, Heisey DM. The abuse of power: The pervasive fallacy of power calculations for data analysis. The American Statistician. 2001;55(1):19-24.

-5. International Committee of Medical Journal Editors (ICMJE). Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals. Actualización 2019.

Published

2025-09-30

How to Cite

Rossi, E. (2025). How to Determine the Sample Size Needed to Test Our Research Hypothesis?. Acta Gastroenterológica Latinoamericana, 55(3). https://doi.org/10.52787/agl.v55i3.540