Journal of Postgraduate Medicine
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Year : 2006  |  Volume : 52  |  Issue : 2  |  Page : 148-150  

A shift from significance test to hypothesis test through power analysis in medical research

Girish Singh 
 Department of Basic Principles, Institute of Medical Sciences, Banaras Hindu University, Varanasi - 221005, India

Correspondence Address:
Girish Singh
Department of Basic Principles, Institute of Medical Sciences, Banaras Hindu University, Varanasi - 221005
India

Medical research literature until recently, exhibited substantial dominance of the Fisher俟Q製 significance test approach of statistical inference concentrating more on probability of type I error over Neyman-Pearson俟Q製 hypothesis test considering both probability of type I and II error. Fisher俟Q製 approach dichotomises results into significant or not significant results with a P value. The Neyman-Pearson俟Q製 approach talks of acceptance or rejection of null hypothesis. Based on the same theory these two approaches deal with same objective and conclude in their own way. The advancement in computing techniques and availability of statistical software have resulted in increasing application of power calculations in medical research and thereby reporting the result of significance tests in the light of power of the test also. Significance test approach, when it incorporates power analysis contains the essence of hypothesis test approach. It may be safely argued that rising application of power analysis in medical research may have initiated a shift from Fisher俟Q製 significance test to Neyman-Pearson俟Q製 hypothesis test procedure.


How to cite this article:
Singh G. A shift from significance test to hypothesis test through power analysis in medical research.J Postgrad Med 2006;52:148-150


How to cite this URL:
Singh G. A shift from significance test to hypothesis test through power analysis in medical research. J Postgrad Med [serial online] 2006 [cited 2020 Aug 11 ];52:148-150
Available from: http://www.jpgmonline.com/article.asp?issn=0022-3859;year=2006;volume=52;issue=2;spage=148;epage=150;aulast=Singh;type=0


 
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