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Time series analysis.

Richard E Donatelli1, Ji-Ae Park2, Spencer M Mathews1

  • 1Department of Orthodontics, University of Florida College of Dentistry, Gainesville, Fla.

American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics
|March 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a straightforward time series analysis method using the free R software for orthodontic patient data. This approach helps visualize trends and seasonal variations, aiding practice management.

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Area of Science:

  • Biostatistics
  • Data Science
  • Orthodontics

Background:

  • A novel application of time series analysis is presented for orthodontic patient data.
  • Utilizes the free and open-source statistical software, R, for accessibility.
  • Data from two international university-affiliated orthodontic departments were analyzed.

Discussion:

  • Time series decomposition effectively separates trend and seasonal components.
  • Graphical visualization aids in understanding data patterns.
  • The method is demonstrated using provided datasets and R code for tutorial purposes.

Key Insights:

  • Time series analysis reveals underlying trends in patient data.
  • Seasonal variations in patient demographics or treatment patterns can be identified.
  • The R software provides a powerful yet accessible tool for these analyses.

Outlook:

  • This method offers clinicians a simple yet effective tool for practice management.
  • Potential for broader application in healthcare data analysis.
  • Further research could explore advanced time series models for clinical insights.