Common errors in statistics and methods.

Journal: BMJ paediatrics open

Volume: 8

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  Peter Flom Consulting, New York, New York, USA peterflomconsulting@mindspring.com. Great Ormond Street Institute of Child Health, University College London, London, UK. University of the Basque Country, Leioa, Spain. Bill and Joyce Cummings Institute of Global Health, University of Global Health Equity, Kigali, Rwanda. Keck School of Medicine, University of Southern California, Los Angeles, California, USA. Centre for Reviews and Dissemination, University of York, York, UK. Center for Indigenous Health Research, Wuqu' Kawoq | Maya Health Alliance, Tecpán, Chimaltenango, Guatemala.

Abstract summary 

As statistical reviewers and editors for BMJ Paediatrics Open (BMJPO), we frequently see methodological and statistical errors in articles submitted to our journal. To make a list of these common errors and propose suitable corrections, and inspired by similar efforts at other leading journals, we surveyed the statistical reviewers and editors at BMJPO to collect their 'pet peeves' and examples of best practices.(1, 2) We have divided these into seven sections: graphics; statistical significance and related issues; presentation, vocabulary, textual and tabular presentation; causality; model building, regression and choice of methods; meta-analysis; and miscellaneous. Here, we present the common errors, with brief explanations. We hope that the guidance provided here will help guide authors as they prepare their submissions to the journal, leading to higher quality and more robust research reporting.

Authors & Co-authors:  Flom Peter P Harron Katie K Ballesteros Javier J Kalinda Chester C Koutoumanou Eirini E Miles Jeremy J Nevitt Sarah Jane SJ Rohloff Peter P

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Flom P. Peter Flom The blog [internet] medium. 2018-. graphics for univariate data: pie is delicious but not nutritious. 2018. [6-Jun-2024]. https://medium.com/peter-flom-the-blog/graphics-for-univariate-data-pie-is-delicious-but-not-nutritious-4e9f59e00085 Available. Accessed.
Authors :  8
Identifiers
Doi : e002755
SSN : 2399-9772
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Statistics
Study Design
Study Approach
Country of Study
Publication Country
England