Assistant Professor, Department of Statistics, Assam University, Silchar, Assam, India.
Professor of Biostatistics, National Drug Dependence Treatment Centre (NDDTC), All India Institute of Medical Sciences (AIIMS), Ghaziabad, Uttar Pradesh, India.
J Assoc Physicians India. 2024 Jul;72(7):34-40. doi: 10.59556/japi.72.0492.
This study illustrates parameters, procedures, and calculations for the statistical determination of sample size for different clinical study designs.
In any research process, the sample size is an important consideration for the implementation of the planned study. From time to time, literature on sample size has been documented in the medical literature. However, the situations covered under them lack comprehensiveness in terms of different study designs, demonstration of calculations, and overreliance on statistical software.
The present study provides various facets of sample size determination, such as prerequisite parameters, mathematical formulation, and calculations for clinical study designs [descriptive studies, randomized controlled trials (RCT), correlational studies, comparison of multiple outcomes, survival analysis, sensitivity, and specificity], which will be quite useful.
This communication will be a good education and learning source for medical professionals to pick and choose a specific scenario and estimate the sample size.
本研究说明了不同临床研究设计中统计确定样本量的参数、程序和计算方法。
在任何研究过程中，样本量都是实施计划研究的重要考虑因素。不时地，医学文献中记录了关于样本量的文献。然而，它们所涵盖的情况在不同的研究设计、计算演示和过度依赖统计软件方面缺乏全面性。
本研究提供了样本量确定的各个方面，例如临床研究设计[描述性研究、随机对照试验（RCT）、相关研究、多个结果比较、生存分析、灵敏度和特异性]的前提参数、数学公式和计算，这将非常有用。
本交流将成为医学专业人员选择特定场景和估计样本量的良好教育和学习资源。
