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Estimation statistics should replace significance testing

Claridge-Chang, Adam; Assam, Pryseley

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  "description": "<p>In place&nbsp;of&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 &lsquo;estimation statistics,&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.&nbsp;</p>\n\n<p>This letter was previously published In Nature Methods at&nbsp;</p>", 
  "license": "", 
  "creator": [
      "affiliation": "Duke-NUS Medical School", 
      "@type": "Person", 
      "name": "Claridge-Chang, Adam"
      "affiliation": "Duke-NUS Medical School", 
      "@type": "Person", 
      "name": "Assam, Pryseley"
  "headline": "Estimation statistics should replace significance testing", 
  "image": "", 
  "datePublished": "2016-08-14", 
  "url": "", 
  "keywords": [
    "estimation statistics"
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "ScholarlyArticle", 
  "name": "Estimation statistics should replace significance testing"
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