ArticleBMC medical research methodology2018
Using the Beta distribution in group-based trajectory models.
Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- A prospective cohort study on longitudinal trajectories of cognitive function after stroke.Scientific reports · 2021Trial
- Trajectory analysis in clinical research.Clinical kidney journal · 2026Review
- Change in Adherence to Oral Antidiabetic Medications Before and After Prostate Cancer Diagnosis: A Group-Based Trajectory Modeling Approach.Clinical drug investigation · 2026Article
- A body shape index trajectories and cognitive function among older hypertensive patients: a national cohort study.Archives of public health = Archives belges de sante publique · 2026Article
- Transparent reporting of group-based trajectory modeling to study medication adherence: Practical considerations and common pitfalls.Journal of managed care & specialty pharmacy · 2026Article
- Changes in compliance with cardiovascular medication after a breast cancer diagnosis: a latent class trajectory analysis using French nationwide data.Breast cancer research and treatment · 2026Article
- Trajectories of jugular bulb venous oxygen saturation after cardiac arrest are associated with distinct patterns of cerebral pathophysiology.Resuscitation plus · 2025Article
- Patterns of liver fibrosis evolution in Chinese HIV/HBV co-infected adults following 5-year antiretroviral treatment: A longitudinal study using non-invasive APRI and Fib-4 scores.Virologica Sinica · 2025Article
- Associations between Glasgow Coma Scale trajectories and 28-day survival rate in patients with sepsis-associated encephalopathy: insights from longitudinal group trajectory modeling.Frontiers in neurology · 2025Article
- Characterizing temporal trends in populations exposed to aircraft noise around U.S. airports: 1995-2015.Journal of exposure science & environmental epidemiology · 2025Article
- Trajectories of breast density change over time and subsequent breast cancer risk: longitudinal study.BMJ (Clinical research ed.) · 2024Article
- Modern views of machine learning for precision psychiatry.Patterns (New York, N.Y.) · 2022Review
- Opioid Dose Trajectories and Associations With Mortality, Opioid Use Disorder, Continued Opioid Therapy, and Health Plan Disenrollment.JAMA network open · 2022Article
- Article
- Relationship between the ApoB/ApoA-I ratio trajectory and risk of type 2 diabetes in China: a retrospective cohort study.Endocrine · 2022Article
- The Pattern of Hemoglobin A1C Trajectories and Risk of Herpes Zoster Infection: A Follow-Up Study.International journal of environmental research and public health · 2022Article
- Beta distribution misspecification tests with application to Covid-19 mortality rates in the United States.PloS one · 2022Article
- Comparing Continuous and Binary Group-based Trajectory Modeling Using Statin Medication Adherence Data.Medical care · 2021Article
- Trajectories of Eating Behaviour Changes during Adolescence.Nutrients · 2021Article
- Co-occurring Hearing Loss and Cognitive Decline in Older Adults: A Dual Group-Based Trajectory Modeling Approach.Frontiers in aging neuroscience · 2021Article
Corrections and comments
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3 authors.
Funding
Abstract
backgroundWe demonstrate an application of Group-Based Trajectory Modeling (GBTM) based on the beta distribution. It is offered as an alternative to the normal distribution for modeling continuous longitudinal data that are poorly fit by the normal distribution even with censoring. The primary advantage of the beta distribution is the flexibility of the shape of the density function.
methodsGBTM is a specialized application of finite mixture modeling designed to identify clusters of individuals who follow similar trajectories. Like all finite mixture models, GBTM requires that the distribution of the data composing the mixture be specified. To our knowledge this is the first demonstration of the use of the beta distribution in GBTM. A case study of a beta-based GBTM analyzes data on the neurological activity of comatose cardiac arrest patients.
resultsThe case study shows that the summary measure of neurological activity, the suppression ratio, is not well fit by the normal distribution but due to the flexibility of the shape of the beta density function, the distribution of the suppression ratio by trajectory appears to be well matched by the estimated beta distribution by group.
conclusionsThe addition of the beta distribution to the already available distributional alternatives in software for estimating GBTM is a valuable augmentation to extant distributional alternatives.
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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.