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本文引用的文献

1
Negative studies published in Indian medical journals are underpowered.印度医学期刊发表的阴性研究结果效力不足。
Indian Pediatr. 2011 Jun;48(6):490-1.
2
Negative studies published in medical journals of India do not give sufficient information regarding power/sample size calculation and confidence interval.发表在印度医学期刊上的阴性研究没有提供足够关于检验效能/样本量计算和置信区间的信息。
J Postgrad Med. 2011 Apr-Jun;57(2):176-7. doi: 10.4103/0022-3859.81861.
3
Sample size/power calculation for case-cohort studies.病例队列研究的样本量/效能计算
Biometrics. 2004 Dec;60(4):1015-24. doi: 10.1111/j.0006-341X.2004.00257.x.
4
Guidelines for the design and statistical analysis of experiments using laboratory animals.使用实验动物进行实验的设计与统计分析指南。
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5
Sample size for ophthalmology studies.眼科研究的样本量
Indian J Ophthalmol. 2000 Sep;48(3):245-50.

如何计算医学研究中不同研究设计的样本量?

How to calculate sample size for different study designs in medical research?

作者信息

Charan Jaykaran, Biswas Tamoghna

机构信息

Department of Pharmacology, Govt. Medical College, Surat, Gujarat, India.

出版信息

Indian J Psychol Med. 2013 Apr;35(2):121-6. doi: 10.4103/0253-7176.116232.

DOI:10.4103/0253-7176.116232
PMID:24049221
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3775042/
Abstract

Calculation of exact sample size is an important part of research design. It is very important to understand that different study design need different method of sample size calculation and one formula cannot be used in all designs. In this short review we tried to educate researcher regarding various method of sample size calculation available for different study designs. In this review sample size calculation for most frequently used study designs are mentioned. For genetic and microbiological studies readers are requested to read other sources.

摘要

精确样本量的计算是研究设计的重要组成部分。必须明白,不同的研究设计需要不同的样本量计算方法,不能在所有设计中都使用同一个公式,这一点非常重要。在这篇简短的综述中,我们试图让研究人员了解适用于不同研究设计的各种样本量计算方法。在这篇综述中提到了最常用研究设计的样本量计算方法。对于基因和微生物学研究,建议读者阅读其他资料来源。