ArticleComputational and mathematical methods in medicine2020
Correlation Coefficients for a Study with Repeated Measures.
Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Muscle Growth Is Very Strongly Correlated with Strength Gains after Lower Body Resistance Training: New Insight from Within-Participant Associations.Medicine and science in sports and exercise · 2025Article
- Clinical Implementation of Inspiratory-Expiratory Chest CT: Defining Quality Criteria for Diagnostic Quality and Detection of Concurrent FEVRadiology. Cardiothoracic imaging · 2025Article
- Respiratory effort monitoring: a novel, bedside, non-invasive, real-time method.Critical care (London, England) · 2025Observational
- Differential relationships between physical activity and pain phenotypes in individuals with spinal cord injury.The journal of spinal cord medicine · 2025Observational
- Weighted Repeated Measures Correlation Coefficient: A New Correlation Coefficient for Handling Missing Data With Repeated Measures.Statistics in medicine · 2025Article
- Oxytocin Modifies the Excitability and the Action Potential Shape of the Hippocampal CA1 GABAergic Interneurons.International journal of molecular sciences · 2024Article
- Obesity-Specific Considerations for Assessing Gait with Inertial Measurement Unit-Based vs. Optokinetic Motion Capture.Sensors (Basel, Switzerland) · 2024Article
- Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.Journal of medical Internet research · 2023Article
- Evaluation of Skindex-16 construct validity in routinely collected psoriasis data: a retrospective analysis of the relationship between overall physician global assessment scores and Skindex-16 and measure discordance.Archives of dermatological research · 2023Article
- Point-of-care pancreatic stone protein measurement in critically ill COVID-19 patients.BMC anesthesiology · 2023Article
- Inertial measurement unit-based motion capture to replace camera-based systems for assessing gait in healthy young adults: Proceed with caution.Measurement. Sensors · 2022Article
- Methods for characterizing ovarian and adrenal hormone variability and mood relationships in peripubertal females.Psychoneuroendocrinology · 2022Article
- Sex-dependent jugular vein optical attenuation and distension during head-down tilt and lower body negative pressure.Physiological reports · 2022Article
- Self-Reported Social Relationship Capacities Predict Motor, Functional and Cognitive Decline in Huntington's Disease.Journal of personalized medicine · 2022Article
- Respiratory Motion and Airflow Estimation During Sleep Using Tracheal Movement and Sound.Nature and science of sleep · 2022Article
- Mobile sonouroflowmetry using voiding sound and volume.Scientific reports · 2021Article
- Remodeling the Skeletal Muscle Extracellular Matrix in Older Age-Effects of Acute Exercise Stimuli on Gene Expression.International journal of molecular sciences · 2020Article
- Effects of prednisolone on 1,2-O-dilauryl-rac-glycero glutaric acid-(60-methylresorufin) ester-lipase activity and pancreatic lipase immunoreactivity in healthy cats.Journal of veterinary internal medicineArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Repeated measures are increasingly collected in a study to investigate the trajectory of measures over time. One of the first research questions is to determine the correlation between two measures. The following five methods for correlation calculation are compared: (1) Pearson correlation; (2) correlation of subject means; (3) partial correlation for subject effect; (4) partial correlation for visit effect; and (5) a mixed model approach. Pearson correlation coefficient is traditionally used in a cross-sectional study. Pearson correlation is close to the correlations computed from mixed-effects models that consider the correlation structure, but Pearson correlation may not be theoretically appropriate in a repeated-measure study as it ignores the correlation of the outcomes from multiple visits within the same subject. We compare these methods with regard to the average of correlation and the mean squared error. In general, correlation under the mixed-effects model with the compound symmetric structure is recommended as its correlation is close to the nominal level with small mean square error.
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Registered trials
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