ArticleStatistical methods in medical research2021
Small sample sizes: A big data problem in high-dimensional data analysis.
Article in Statistical methods in medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Trial
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- A computationally efficient approach to false discovery rate control and power maximisation via randomisation and mirror statistic.Statistical methods in medical research · 2025Article
- Use of the Evidence-Based practice Attitude and utilization SurvEy to determine the use of evidence-based practice by chiropractic students.The Journal of chiropractic education · 2025Article
- Current status of next-generation vaccines against mpox virus: a scoping review.Frontiers in pharmacology · 2025Review
- LD-informed deep learning for Alzheimer's gene loci detection using WGS data.medRxiv : the preprint server for health sciences · 2024Article
- High-dimensional multivariate analysis of variance via geometric median and bootstrapping.Biometrics · 2024Article
- Integrated analysis of gut metabolome, microbiome, and exfoliome data in an equine model of intestinal injury.Microbiome · 2024Article
- Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance.Journal of mass spectrometry and advances in the clinical lab · 2023Article
- The hitchhikers' guide to RNA sequencing and functional analysis.Briefings in bioinformatics · 2023Article
- Article
- An ensemble learning approach to identify pastured poultry farm practice variables and soil constituents that promoteHeliyon · 2022Article
- Determination of the Physicochemical Quality of Groundwater and its Potential Health Risk for Drinking in Oromia, Ethiopia.Environmental health insights · 2022Article
- Filtering High-Dimensional Methylation Marks With Extremely Small Sample Size: An Application to Gastric Cancer Data.Frontiers in genetics · 2021Article
- LD-informed deep learning for Alzheimer's gene loci detection using WGS data.Alzheimer's & dementia (New York, N. Y.)Article
- The importance of small samples in medical research.Journal of postgraduate medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of
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.