Going to extremes:The Goldilocks/Lagom principle and data distribution

Leese, Henry J., Sathyapalan, Thozhukat, Allgar, Victoria orcid.org/0000-0002-5228-2623 et al. (2 more authors) (2019) Going to extremes:The Goldilocks/Lagom principle and data distribution. BMJ Open. e027767. ISSN 2044-6055

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© Author(s) (or their employer(s)) 2019.

Keywords: data analysis and interpretation,data distributions,statistics & research methods
Dates:
  • Published: 27 November 2019
  • Accepted: 29 August 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
The University of York > Faculty of Sciences (York) > Biology (York)
Depositing User: Pure (York)
Date Deposited: 13 Jan 2020 09:40
Last Modified: 16 Oct 2024 16:19
Published Version: https://doi.org/10.1136/bmjopen-2018-027767
Status: Published
Refereed: Yes
Identification Number: 10.1136/bmjopen-2018-027767
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Filename: e027767.full.pdf

Description: e027767.full

Licence: CC-BY-NC 2.5

Export

Statistics