ArticleAJPM focus2026
Impact of Sample Size and Its Estimation in Medical Research.
Article in AJPM focus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Examining Social Media User Types and the Impact on a Reproductive Health Web-Based Intervention for Young People in Francophone West Africa: Randomized Factorial Design Using Latent Class Analysis.JMIR formative research · 2026Trial
- Associations of Polypharmacy, Diuretics and Antipsychotics with Injurious Falls: A Population-Based Cohort Study.Drugs & aging · 2026Article
- User-Centered Evaluation of Healthcare Information System Utilization: A Cross-Sectional Study Integrating Acceptance Models.Health science reports · 2026Article
- HLA polymorphisms shape divergent outcomes of Toxoplasma and Plasmodium infection in Eastern Indian HbE/β-thalassemia cohort.Communications biology · 2026Article
- Evaluating the Impact of Integrative Art Therapies on Psychological Well-Being in Pediatric Oncology: A Single-Group Pre-Post Study.Nursing reports (Pavia, Italy) · 2026Article
- Intralesional Corticosteroid Injections in the Treatment of Oral Lichen Planus-A Narrative Review.Journal of clinical medicine · 2026Review
- Association of adverse pregnancy outcomes and intimate partner violence survivorship: a cross-sectional survey.Frontiers in global women's health · 2026Article
- Evaluation of eradication efficacy and optimization strategies forFrontiers in medicine · 2026Article
- Article
- Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods.Medical cannabis and cannabinoidsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: In medical research, study samples are used to estimate and compare characteristics of target populations. However, because samples inevitably differ from their target populations, statistical inferences are subject to inherent uncertainty. Among various contributing factors, sample size plays a critical role in determining the reliability and precision of research findings. This study used data simulations to examine how sample size affects statistical outcomes and its relationships with key metrics of statistical inference. Methods: Two normal distributions, representing the null and alternative hypotheses, were generated to illustrate the relationships between type I error, type II error, statistical power, and sample size. Statistical power and theoretical Results: Required sample size is determined by expected effect size, variability, significance level, and desired statistical power. As sample size increases, statistical power increases and Conclusions: Sample size estimation is a critical component of rigorous study design. It ensures adequate statistical power, improves precision, and facilitates meaningful interpretation of research findings.
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.