Analysis of covariance and sample size calculation for comparing means in randomized controlled trials.

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-01-01 DOI:10.34172/jcvtr.2023.30497

Yousef Alimohamadi, Mojtaba Sepandi

引用次数: 0

Abstract

, We read the valuable manuscript with the title: Effects of sodium selenite and selenium-enriched yeast on cardiometabolic indices of patients with atherosclerosis: A double-blind randomized clinical trial study that published in J Cardiovasc Thorac Res. 1 Which seems to have shortcomings in the following cases: Firstly, about determined sample size the authors mentioned “ The sample size of the study was defined based on the mean ( ± standard deviation [SD]) of GPX with a confidence interval of 95% and power of 80 %, and estimation 10% of dropouts.” The authors used the sample size formula for estimation a single mean which is not applicable for analytical studies such as randomized control trials. The appropriate formula of sample size for comparing two means is as follows

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随机对照试验中比较均数的协方差分析和样本量计算。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.