Most of the research papers are strictly using a p-value to describe a significant value but omitting a confidence interval. Now a day, the publishers are demanding the effect size in terms of confidence interval which is more meaningful than a p-value. Introduction of the confidence interval in the research paper will limit the misinterpretation of p-values. This article will help the readers understand the importance of confidence interval while reporting a mean and standard deviation in their article.
1. Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN et al Statistical tests, P values, confdence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016; 31:337-50
2. Mrs Spitz spring, Confdence interval for the means (small sample), Publisher Mitchel Smithwick, http://slideplayer.com/slide/2811914/ chapter 6.2, 2009
3. Mrs Spitz spring, Confdence interval for proportions, Publisher Millicent Barton, http://slideplayer.com/slide/5827799/ chapter 6.3, 2009
4. Yuko Y.Palesch, some common misperceptions about p-values, NIH public access Author Manuscript, 2014;45(12) e244-e246