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生物医学研究中卡方检验样本量计算实用指南。

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

作者信息

Abdul Rahman Hanif, Noraidi Amirul Ariffin, Hj Khalid Amal Nadhirah, Mohamad-Adam Alanna Zawani, Zahari Nurrabiatul Haziqah, Tuming Nurezzah Ezzaty

机构信息

Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah, Institute of Health Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei.

School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei.

出版信息

BMC Med Res Methodol. 2025 May 26;25(1):144. doi: 10.1186/s12874-025-02584-4.

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/ .

摘要

在生物医学研究中,样本量的计算是研究设计的关键组成部分。足够的样本量可确保统计检验(包括卡方检验)的可靠性。本手稿概述了用于卡方检验的在线样本量计算器的使用方法。该论文包括对计算中使用的公式的详细解释,并强调了功效分析在规划研究中的重要性。此工具旨在协助和指导研究人员确定用于检测分类数据中具有统计学显著差异的最佳样本量。我们描述了卡方检验背后的理论、样本量计算所涉及的统计原理以及使用样本量计算器的具体方法。该计算器可在https://hanif-shiny.shinyapps.io/chi-sq/ 免费使用。

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