ArticleMeasurement in physical education and exercise science2021
A Tutorial of Bland Altman Analysis in A Bayesian Framework.
Article in Measurement in physical education and exercise science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Clinical Equivalence of a CNN-Based Automated Soft Tissue Landmark Detection System on 2D Facial Images.Diagnostics (Basel, Switzerland) · 2026Article
- Statistical Analysis and Reporting of Cardiac Output Method Comparison Studies (COMPARE) Statement.Anesthesiology · 2025Review
- Utilization of third-trimester fetal transcerebellar diameter measurement for gestational age estimation: a comparative study using Bland-Altman analysis.AJOG global reports · 2024Article
- The Long-Term Progression of Aneurysmal Disease in Common Iliac Arteries After Standard EVAR and Its Clinical Implications.International journal of vascular medicine · 2024Article
- Gender Differences in the Predictive Value of Obesity Indices for Insulin Resistance in Adult Mexican Individuals.Endocrine, metabolic & immune disorders drug targets · 2024Article
- Bayesian analyses for research on Alzheimer's disease and related disorders-updating one's knowledge.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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3 authors.
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Abstract
There are two schools of thought in statistical analysis, frequentist, and Bayesian. Though the two approaches produce similar estimations and predictions in large-sample studies, their interpretations are different. Bland Altman analysis is a statistical method that is widely used for comparing two methods of measurement. It was originally proposed under a frequentist framework, and it has not been used under a Bayesian framework despite the growing popularity of Bayesian analysis. It seems that the mathematical and computational complexity narrows access to Bayesian Bland Altman analysis. In this article, we provide a tutorial of Bayesian Bland Altman analysis. One approach we suggest is to address the objective of Bland Altman analysis via the posterior predictive distribution. We can estimate the probability of an acceptable degree of disagreement (fixed
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