ArticleMediterranean journal of rheumatology2019
Biostatistics as a Tool for Medical Research: What are we Doing Wrong?
Article in Mediterranean journal of rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Evaluating the Accuracy of Large Language Models in Selecting Appropriate Statistical Tests for Healthcare Research.Cureus · 2026Article
- Frequency of the Statistical Methods and Relation with Acceptance Period in Archives of Iranian Medicine Articles: A Review from 2015-2019.Archives of Iranian medicine · 2022Review
- Statistical data presentation: a primer for rheumatology researchers.Rheumatology international · 2021Review
- Mediterranean Journal of Rheumatology December 2019 Highlights.Mediterranean journal of rheumatology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the data resulting from modern clinical research are astonishingly complex, statistics constitute an integral component of the research project, from the study conception and design to the reporting of the results. At the same time, the Medical Literature is not immune to statistical pitfalls. In the following lines we identify eleven common statistical mistakes, elucidate their effects on the study credibility, and provide tips and tricks to avoid them.
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.