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Application of Multilevel Models in Dentistry.
Mohammad Javad Kharazifard1, Kurosh Holakouie-Naieni2, Mohammad Ali Mansournia3
1PhD Candidate of Epidemiology, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Multilevel analysis, a statistical method for hierarchical data, has limited use in dental research despite its benefits. This review examines its applications in dentistry.
Area of Science:
- Statistical analysis
- Multilevel modeling
- Dental research
Background:
- Multilevel analysis was developed for hierarchical data.
- It has been applied to various scientific fields beyond nested data, including repeated measurements and clustered trials.
- The application of multilevel analysis in dental studies began in 1991.
Purpose of the Study:
- To review the applications of multilevel analysis in dental studies.
- To highlight the value of this statistical method for dental data analysis.
- To address the limited current application of multilevel analysis in dentistry.
Main Methods:
- Literature review of studies utilizing multilevel analysis in dentistry.
- Analysis of the scope and types of dental research employing multilevel modeling.
- Synthesis of findings on the utility and challenges of multilevel analysis in dental contexts.
Main Results:
- Multilevel analysis offers significant advantages for analyzing complex dental data structures.
- Despite its potential, the adoption of multilevel analysis in dental research remains suboptimal.
- Specific examples of its application in areas like orthodontics, periodontology, and epidemiology were identified.
Conclusions:
- Multilevel analysis is a valuable tool for dental research, particularly for clustered or longitudinal data.
- Increased awareness and training are needed to promote wider adoption of this methodology in dentistry.
- Further research should explore innovative applications of multilevel modeling to address complex dental health questions.
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