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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;http://dx.doi.org/10.1038/nmeth.3729</p>", 
  "license": "https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode", 
  "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": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2016-08-14", 
  "url": "https://zenodo.org/record/60156", 
  "keywords": [
    "estimation statistics"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.60156", 
  "@id": "https://doi.org/10.5281/zenodo.60156", 
  "@type": "ScholarlyArticle", 
  "name": "Estimation statistics should replace significance testing"
}
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