医学研究中的样本量计算

M. Karim, S. Furnaz, Ahmed Raheem Buksh, M. Beg, Muhammad Shahbaz Khan, B. Moiz
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引用次数: 8

摘要

对于任何流行病学或医学研究结果的可靠性和一般能力而言,足够数量的研究单位是极其重要的。研究少于需要的和不必要的大样本在道德和经济上都是不公平的。考虑到样本量的重要性,在各种流行病学或医学研究中,样本量的确定和论证,我们对现有的样本量计算方法提出了简单而非技术的解释。在这篇综述中,我们涵盖了医学研究中最常见的研究设计。本综述提供了不同目的研究的样本量计算的统计公式,如总体比例和假设检验的估计、总体均值的估计、诊断准确性的估计、关联和可靠性的估计、病例对照研究的样本量计算和队列研究的样本量计算。每种方法的有限技术细节和基本理论假设的解释都包括在内,以确保该方法的适应性与最小的理论低估和统计知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sample Size Calculation In Medical Research
For the reliability and general ability of the results of any epidemiological or medical research study, adequate number of study units is extremely important. Study of both less than needed and unnecessarily large sample size is ethically and economically unfair. Considering the importance of sample size, its determination and justification in all kinds of epidemiological or medical research studies, we propose simple and non-technical explanation to the available sample size calculation methods. In this review we covered most frequently encountered study designs in medical research. Present review provides statistical formulas for the sample size calculation of the research studies with varying objectives such as estimation of population proportion(s) and hypothesis testing, estimation of population mean, estimation of diagnostic accuracy, estimation of association and reliability, sample size calculation for case control studies, and sample size calculation for cohort studies. Limited technical details and explanations of underlying theoretical assumption for each method have been included to ensure the adaptability of the method with minimal theoretical understating and statistical knowledge.
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