Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to Epidemiology01:26

Introduction to Epidemiology

1.2K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.2K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

619
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
619
Longitudinal Research02:20

Longitudinal Research

12.7K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.7K
Longitudinal Studies01:26

Longitudinal Studies

291
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
291
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

507
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
507
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

201
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
201

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genetic Variants and Dental Caries Susceptibility: An Umbrella Review and Multilevel Meta-Analysis.

Genes·2026
Same author

Impact of oral probiotics on oral health and halitosis in orthodontic patients treated with aligners or conventional fixed appliances vs placebo: two randomized clinical trials.

European journal of orthodontics·2026
Same author

Worthwhile or wasteful? Assessing the impact of funding, author collaboration and article availability on article metrics.

European journal of orthodontics·2026
Same author

Authorial Influence in Orthodontic Scholarship: A Comparative Analysis of Authors Impact Across Three Leading Orthodontic Journals.

Orthodontics & craniofacial research·2026
Same author

POTENTIAL RESEARCH WASTE DUE TO PRIMARY STUDIES OVERLAP IN ORTHODONTICS SYSTEMATIC REVIEWS: A FIVE-YEAR ANALYSIS.

The journal of evidence-based dental practice·2026
Same author

Exploratory investigation of patterns of forensic odontology interest.

Legal medicine (Tokyo, Japan)·2026

Related Experiment Video

Updated: Oct 19, 2025

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
10:42

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children

Published on: December 31, 2017

17.4K

Do longitudinal orthodontic trials use appropriate statistical analyses? A meta-epidemiological study.

Samer Mheissen1, Haris Khan2, Mohammed Almuzian3

  • 1Syrian Board in Orthodontics, Orthodontic Department, Syrian Ministry of Health, Private Practice, Damascus, Syria.

European Journal of Orthodontics
|September 25, 2021
PubMed
Summary

Most longitudinal orthodontic trials lack optimal statistical analysis, potentially compromising results. This review highlights the need for improved statistical methods in orthodontic research to ensure reliable findings.

More Related Videos

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.4K
Studying Orthodontic Tooth Movement in Mice
07:17

Studying Orthodontic Tooth Movement in Mice

Published on: August 2, 2024

1.1K

Related Experiment Videos

Last Updated: Oct 19, 2025

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children
10:42

Oral Biofilm Sampling for Microbiome Analysis in Healthy Children

Published on: December 31, 2017

17.4K
Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.4K
Studying Orthodontic Tooth Movement in Mice
07:17

Studying Orthodontic Tooth Movement in Mice

Published on: August 2, 2024

1.1K

Area of Science:

  • Orthodontics
  • Epidemiology
  • Biostatistics

Background:

  • Longitudinal designs are common in orthodontic trials.
  • Multiple outcome measurements over time are frequently used.
  • Assessing the appropriateness of statistical analysis in these trials is crucial.

Purpose of the Study:

  • To examine the statistical analysis approaches used in longitudinal orthodontic trials.
  • To determine if optimal methods for longitudinal data are being applied.
  • To identify factors associated with the use of appropriate statistical analyses.

Main Methods:

  • A systematic search of Pubmed for longitudinal orthodontic trials published between 2017-2020.
  • Independent and duplicate study selection and data extraction.
  • Tabulation of analysis approaches and assessment of associations using Fisher's exact test and logistic regression.

Main Results:

  • Only 26.5% of 147 included trials used optimal statistical analysis for longitudinal data.
  • Suboptimal analyses were associated with higher odds of statistically significant results (OR: 3.48).
  • Repeated-measure analysis of variance (RM-ANOVA) was the most common optimal method; reporting was often suboptimal.

Conclusions:

  • The majority of longitudinal orthodontic trials are not analyzed using optimal statistical approaches.
  • Inferences drawn from these trials may be compromised due to inappropriate analysis.
  • There is a need to improve statistical methodology and reporting in orthodontic research.