Journal of Human Reproductive Sciences

REVIEW ARTICLE
Year
: 2012  |  Volume : 5  |  Issue : 1  |  Page : 7--13

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

Correspondence Address:
K P Suresh
Scientist(ss), National Institute of Animal Nutrition and Physiology Adugodi, Bangalore-560030
India

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.


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


How to cite this URL:
Suresh K P, Chandrashekara S. Sample size estimation and power analysis for clinical research studies. J Hum Reprod Sci [serial online] 2012 [cited 2021 Sep 28 ];5:7-13
Available from: https://www.jhrsonline.org/article.asp?issn=0974-1208;year=2012;volume=5;issue=1;spage=7;epage=13;aulast=Suresh;type=0