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Estimation statistics should replace significance testing

Claridge-Chang, Adam; Assam, Pryseley


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    <subfield code="a">&lt;p&gt;In place&amp;nbsp;of&amp;nbsp;significance testing, a preferred statistical methodology is accessible with modest re-training. However, an obstacle to the adoption of this alternative is a basic branding problem: it does not have a widely-used name. We suggest the most appropriate name for this superior approach is &amp;lsquo;estimation statistics,&amp;rsquo; a term describing the methods that focus on the estimation of effect sizes (point estimates) and their confidence intervals (precision estimates). Estimation statistics offers several key benefits.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This letter was previously published In Nature Methods at&amp;nbsp;http://dx.doi.org/10.1038/nmeth.3729&lt;/p&gt;</subfield>
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