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Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...

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Related Experiment Video

Updated: May 22, 2026

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition
07:32

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Published on: February 23, 2024

Why does clustering matter in orthodontic trials?

Jayne E Harrison1, Girvan Burnside

  • 1Department of Orthodontics, Liverpool University Dental Hospital, Liverpool, UK. Jayne.Harrison@rlbuht.nhs.uk

European Journal of Orthodontics
|May 26, 2012
PubMed
Summary
This summary is machine-generated.

Clustering in randomized controlled trials (RCTs) is common in orthodontics but often ignored. Failing to account for clustering in trial design and analysis can impact results, affecting sample size calculations and data interpretation.

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Area of Science:

  • Clinical Trials
  • Orthodontics
  • Biostatistics

Background:

  • Clustering in randomized controlled trials (RCTs) occurs when participants are grouped or multiple measurements are taken from individuals.
  • Cluster RCTs are prevalent in clinical orthodontic research.
  • A significant gap exists as only a quarter of published trials account for clustering effects.

Purpose of the Study:

  • To highlight the importance of considering clustering in RCTs.
  • To emphasize the implications of ignoring clustering in orthodontic research.
  • To inform best practices for trial design and analysis.

Main Methods:

  • Review of clustering principles in experimental design.
  • Analysis of current practices in published orthodontic RCTs.
  • Discussion of statistical implications of clustering.

Main Results:

  • Clustering is frequently observed in orthodontic RCTs.
  • A low proportion of published trials adequately address clustering.
  • Inadequate consideration of clustering affects sample size, consent, and data analysis.

Conclusions:

  • The effects of clustering must be incorporated into the design and analysis of RCTs.
  • Properly accounting for clustering is crucial for accurate sample size determination.
  • Addressing clustering ensures the validity and reliability of orthodontic trial findings.