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REVIEW ARTICLE |
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Year : 2012 | Volume
: 5
| Issue : 1 | Page : 7-13 |
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Sample size estimation and power analysis for clinical research studies
KP Suresh1, S Chandrashekara2
1 Department of Biostatistics, National Institute of Animal Nutrition and Physiology, Bangalore, India 2 Department of Immunology and Reumatology, ChanRe Rheumatology and Immunology Center and Research, Bangalore, India
Date of Submission | 16-Feb-2012 |
Date of Decision | 16-Feb-2012 |
Date of Acceptance | 07-Mar-2012 |
Date of Web Publication | 2-Jul-2012 |
Correspondence Address: K P Suresh Scientist(ss), National Institute of Animal Nutrition and Physiology Adugodi, Bangalore-560030 India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/0974-1208.97779
Abstract | | |
Determining the optimal sample size for a study assures an adequate power to detect statistical significance. Hence, it is a critical step in the design of a planned research protocol. Using too many participants in a study is expensive and exposes more number of subjects to procedure. Similarly, if study is underpowered, it will be statistically inconclusive and may make the whole protocol a failure. This paper covers the essentials in calculating power and sample size for a variety of applied study designs. Sample size computation for single group mean, survey type of studies, 2 group studies based on means and proportions or rates, correlation studies and for case-control for assessing the categorical outcome are presented in detail.
Keywords: Correlation, odds ratio, power, prevalence, survey, proportions, sample size
How to cite this article: Suresh K P, Chandrashekara S. Sample size estimation and power analysis for clinical research studies. J Hum Reprod Sci 2012;5:7-13 |
This has been retracted as the sections in the text have been directly copied from a previously published article, entitled, "Issues in outcomes research: An overview of randomization techniques for clinical trials," in pages 215-221, Issue 2, Vol. 45 of Journal of Athletic Training

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