Stat Lay Abstracts Collection

For a number of years, Stat has been publishing a series of lay abstracts on Stats & Data Science Views, where authors provide an accessible summary of their articles in non-technical language.

The collection of lay abstracts is listed below.


For accepted manuscripts, if you feel that your article will have broad appeal beyond the readership of Stat, you may wish to consider providing a “lay abstract” to appear on this site. 

This abstract or commentary should be written in the third person, be substantially less technical than the formal abstract, and be at least 200 words. It should explain the importance of your work in a broader context, appealing to a non-specialist statistical audience. We may use this information to highlight your research on Stats & Data Science Views and our social media networks. When ready, you may email your lay abstract to Stephen Raywood (