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随机对照试验中样本量计算与报告的重要考量因素。

Important considerations in calculating and reporting of sample size in randomized controlled trials.

作者信息

Ebrahim Valojerdi Ameneh, Tanha Kiarash, Janani Leila

机构信息

Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Med J Islam Repub Iran. 2017 Dec 25;31:127. doi: 10.14196/mjiri.31.127. eCollection 2017.

DOI:10.14196/mjiri.31.127
PMID:29951427
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6014761/
Abstract

The calculation of the sample size is one of the most important steps in designing a randomized controlled trial. The purpose of this study is drawing the attention of researchers to the importance of calculating and reporting the sample size in randomized controlled trials. We reviewed related literature and guidelines and discussed some important issues in sample size calculation and reporting in randomized controlled trials. The calculation of the sample size is one of the most important steps in designing a randomized controlled trial. According to the CONSORT (Consolidated Standards of Reporting Trials) guideline and other standard guidelines for designing and reporting of RCTs, sample size calculations should be reported and justified in all published RCTs. Because sample size calculations are prone to bias and because of the high ethical and financial costs related to conducting an RCT, we recommend involving a biostatistician at the designing stage of the study and to ask for statistical advice for sample size calculations.

摘要

样本量的计算是设计随机对照试验最重要的步骤之一。本研究的目的是引起研究人员对随机对照试验中样本量计算和报告重要性的关注。我们回顾了相关文献和指南,并讨论了随机对照试验中样本量计算和报告的一些重要问题。样本量的计算是设计随机对照试验最重要的步骤之一。根据CONSORT(试验报告统一标准)指南以及其他关于随机对照试验设计和报告的标准指南,所有已发表的随机对照试验都应报告并说明样本量的计算。由于样本量计算容易出现偏差,并且进行随机对照试验涉及高昂的伦理和财务成本,我们建议在研究设计阶段让生物统计学家参与,并就样本量计算寻求统计建议。

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本文引用的文献

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Power failure: why small sample size undermines the reliability of neuroscience.停电:为什么小样本量会破坏神经科学的可靠性。
Nat Rev Neurosci. 2013 May;14(5):365-76. doi: 10.1038/nrn3475. Epub 2013 Apr 10.
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The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.Cochrane 协作网评估随机试验偏倚风险的工具。
BMJ. 2011 Oct 18;343:d5928. doi: 10.1136/bmj.d5928.
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BMC Med. 2010 Mar 24;8:18. doi: 10.1186/1741-7015-8-18.
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BMJ. 2010 Mar 23;340:c723. doi: 10.1136/bmj.c723.
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Reporting of sample size calculation in randomised controlled trials: review.随机对照试验中样本量计算的报告:综述
BMJ. 2009 May 12;338:b1732. doi: 10.1136/bmj.b1732.
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Statistics in brief: the importance of sample size in the planning and interpretation of medical research.简要统计:样本量在医学研究规划与解读中的重要性。
Clin Orthop Relat Res. 2008 Sep;466(9):2282-8. doi: 10.1007/s11999-008-0346-9. Epub 2008 Jun 20.
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