Preprint Open Access

Estimation statistics should replace significance testing

Claridge-Chang, Adam; Assam, Pryseley


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.60156", 
  "container_title": "Nature Methods", 
  "title": "Estimation statistics should replace significance testing", 
  "issued": {
    "date-parts": [
      [
        2016, 
        8, 
        14
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Claridge-Chang, Adam"
    }, 
    {
      "family": "Assam, Pryseley"
    }
  ], 
  "page": "108-109", 
  "volume": "13", 
  "type": "article", 
  "id": "60156"
}
1,062
705
views
downloads
All versions This version
Views 1,0621,065
Downloads 705705
Data volume 46.5 MB46.5 MB
Unique views 982985
Unique downloads 658658

Share

Cite as