ArticleResearch involvement and engagement2025
'Plugging the gap': development of a plain language glossary for statistical methodology research.
Article in Research involvement and engagement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Developing Public-Friendly Visualisations to Improve PPIE Glossaries for Statistical Methodology Research.Health expectations : an international journal of public participation in health care and health policy · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundPlain language glossaries of research-related terms are a useful resource for Patient and Public Involvement and Engagement (PPIE) activities. They can provide public contributors with a deeper understanding of aspects of the project such as the study design, the methods being used for data analysis, and the interpretation of results. However, whilst plain language glossaries of research-related terms exist, they do not always include definitions for concepts that are commonly used in statistical methodology research. The aims of this work were to (1 develop a plain language glossary of the statistical methodology research terms that were missing from the existing glossaries and 2) outline the process used to develop the glossary to aid researchers in producing a glossary relevant to their own research projects.
methodsBy conducting online searches and consulting members of the Biostatistics Research Group at the University of Leicester, we conducted a scoping exercise in August 2023 to identify glossaries aimed at members of the public that included definitions of statistical terms. We then reviewed the glossaries to develop a list of terms that are commonly used in the statistical methodology research conducted by the Biostatistics Research Group at the University of Leicester, which had not already been defined. Initial definitions of these terms were generated using ChatGPT (GPT-3.5). These were then refined and discussed with public contributors. Three cycles of PPIE feedback were used to further develop and update the definitions for use in the glossary.
resultsWe reviewed gaps in five existing glossaries and identified a list of 64 statistical terms to develop definitions for. These covered a range of concepts including different types of statistical models, Bayesian analysis, meta-analysis, and prognostic modelling. The feedback we received from public contributors focused on the level of language used, shortening the length of the definitions, and including examples to give context to the definitions.
conclusionsWe developed a plain language glossary of terms that are commonly used in statistical methodology research as a resource for public contributors taking part in PPIE. The glossary has been made available on the NIHR Leicester Biomedical Research Centre website ( https://leicesterbrc.nihr.ac.uk/ppismart/ppismart-definitions/ ).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.