Linear regression reporting practices for health researchers, a cross-sectional meta-research study
Our results indicate that statistical methods and results were often poorly reported without sufficient detail to reproduce them. To improve statistical quality and direct health funding to effective treatments, we recommend that statisticians be involved in the research cycle, from study design to post-peer review. The research environment is an ecosystem, and future interventions addressing poor statistical quality should consider the interactions between the individuals, organisations and policy environments. Practical recommendations include journals producing templates with standardised reporting and using interactive checklists to improve reporting practices. Investments in research maintenance and quality control are required to assess and implement these recommendations to improve the quality of health research.
Authors
- Dimitrios Vagenas (ORCID: https://orcid.org/0000-0001-7026-0834)
- Adrian Gerard Barnett (ORCID: https://orcid.org/0000-0001-6339-0374)
- Lee Jones (ORCID: https://orcid.org/0000-0002-5686-1155)
Institutions
- Queensland University of Technology (AU)
- QIMR Berghofer Medical Research Institute (AU)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1371/journal.pone.0305150
- Citations
- 6
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 6.99
Funders
- Statistical Society of Australia