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Understanding significance and p-values
Journal article

Understanding significance and p-values

Abstract

Correction 7th May 2016: p.523, Column 1, second paragraph, line 10 - 'the quantiles at the extremes - say 5%, 1%, which were useful' was changed TO 'the quantiles at the extremes - say 10%, 5%, 2%, and 1%, which were useful'.p.523, Column 2, second paragraph, line 3 - 'this is misconstrued with 'statistical significance' changed TO 'mistaken with 'statistical significance'.Since the p-value is a single index, following the ASA’s statement, we strongly support that it cannot and should not be considered as the sole basis for scientific reasoning. Given the misuses and misconceptions concerning p-values, the recommendation is to present the estimate of the effect, provide a measure of uncertainty of the estimation (e.g. confidence interval), and interpret the results in terms of scientific importance.

Authors

Bangdiwala SI

Journal

Nepal Journal of Epidemiology, Vol. 6, No. 1, pp. 522–524

Publisher

Nepal Journals Online (JOL)

Publication Date

March 1, 2016

DOI

10.3126/nje.v6i1.14732

ISSN

2091-0800
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