ArticleEducational and psychological measurement2021
Prediction With Mixed Effects Models: A Monte Carlo Simulation Study.
Article in Educational and psychological measurement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method.BMC medical research methodology · 2026Article
- Factors Associated With Social Inclusion and Labour Status in People With Intellectual Disabilities, From Urban and Rural Areas of Peru.Journal of applied research in intellectual disabilities : JARID · 2026Article
- Article
- Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose Study.Scientific reports · 2025Article
- Article
- Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms.Scientific reports · 2024Article
- Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree.Archives of Iranian medicine · 2024Article
- Fixed Effects or Mixed Effects Classifiers? Evidence From Simulated and Archival Data.Educational and psychological measurement · 2023Article
- A review on longitudinal data analysis with random forest.Briefings in bioinformatics · 2023Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oftentimes in many fields of the social and natural sciences, data are obtained within a nested structure (e.g., students within schools). To effectively analyze data with such a structure, multilevel models are frequently employed. The present study utilizes a Monte Carlo simulation to compare several novel multilevel classification algorithms across several varied data conditions for the purpose of prediction. Among these models, the panel neural network and Bayesian generalized mixed effects model (multilevel Bayes) consistently yielded the highest prediction accuracy in test data across nearly all data conditions.
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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.