Practical guide to calculate sample size for chi-square test in biomedical research

In biomedical research, the calculation of sample size is a critical component of study design. Adequate sample size ensures the reliability of statistical tests, including the chi-square test. This manuscript outlines the use of an online sample size calculator for chi-square tests. The paper includes detailed explanations of the formulas used in the calculations and highlights the importance of power analysis in planning research studies. This tool is designed to assist and guide researchers in determining the optimal sample size for detecting statistically significant differences in categorical data. We describe the theory behind the chi-square test, the statistical principles involved in sample size calculation, and the specific methodology for using the sample size calculator. The calculator is freely available to use at https://hanif-shiny.shinyapps.io/chi-sq/ .

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-05-26
DOI
https://doi.org/10.1186/s12874-025-02584-4
Citations
11
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
28.93
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article

Practical guide to calculate sample size for chi-square test in biomedical research

Hanif Abdul Rahman, Asma Khalid, Amirul Ariffin Noraidi, Alanna Zawani Mohamad-Adam et al.
11 citations
BMC Medical Research Methodology
Statistics Education and Methodologies
28.93
article

Practical guide to calculate sample size for chi-square test in biomedical research

Hanif Abdul Rahman, Asma Khalid, Amirul Ariffin Noraidi, Alanna Zawani Mohamad-Adam, Nurrabiatul Haziqah Zahari, Nurezzah Ezzaty Tuming
article en
11 citations

Abstract

In biomedical research, the calculation of sample size is a critical component of study design. Adequate sample size ensures the reliability of statistical tests, including the chi-square test. This manuscript outlines the use of an online sample size calculator for chi-square tests. The paper includes detailed explanations of the formulas used in the calculations and highlights the importance of power analysis in planning research studies. This tool is designed to assist and guide researchers in determining the optimal sample size for detecting statistically significant differences in categorical data. We describe the theory behind the chi-square test, the statistical principles involved in sample size calculation, and the specific methodology for using the sample size calculator. The calculator is freely available to use at https://hanif-shiny.shinyapps.io/chi-sq/ .

BMC Medical Research MethodologyVol. 25(1)
Universiti Brunei Darussalam (BN)
Openalex Percentile: Top 0%
Statistics Education and Methodologies
28.93
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