Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Repeat measurements analysis of dental data.

S Wallenstein, J L Fleiss, A Kingman

Journal of Dental Research

|November 1, 1980

Summary

This study introduces a conservative F test for analyzing repeated measurements in trials. It effectively assesses time effects and time-treatment interactions when observation correlations follow a specific pattern.

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Erratum.

Journal of periodontology·2018

Same author

ON THE METHODS AND THEORY OF CLUSTERING.

Multivariate behavioral research·2016

Same author

A simple approximation for calculating sample sizes for comparing independent proportions.

Biometrics·2015

Same author

Oral health care services utilisation in the adult US population: Medical Expenditure Panel Survey 2006.

Community dental health·2013

Same author

Transmission filter for the extreme ultraviolet spectral region composed of a thin Saran (C(2)H(2)Cl(2)) foil.

Applied optics·2010

Same author

Peptide-based ELISAs are not sensitive and specific enough to detect muscarinic receptor type 3 autoantibodies in serum from patients with Sjogren's syndrome.

Annals of the rheumatic diseases·2010

Area of Science:

Biostatistics
Clinical Trials
Longitudinal Data Analysis

Background:

Repeatedly evaluating individuals over time is common in clinical trials.
Analyzing such longitudinal data requires specialized statistical methods.
Understanding correlations between repeated observations is crucial for accurate analysis.

Purpose of the Study:

To examine statistical analysis methods for trials with repeated measurements.
To propose a conservative F test for specific correlation patterns.
To evaluate the effects of time and the interaction between time and treatment groups.

Main Methods:

Focuses on statistical analysis of longitudinal trial data.
Applies a conservative F test for data with specified correlation patterns.
Tests for main effects of time and interaction effects between time and treatment.

Main Results:

The conservative F test provides a robust method for analyzing repeated measures.
The test is effective under the assumption of a specified correlation structure.
It allows for the detection of significant time-related trends and treatment interactions.

Conclusions:

The proposed conservative F test is a valuable tool for longitudinal data analysis in clinical trials.
It offers a reliable approach to assess time and treatment effects when correlations are structured.
This method enhances the statistical power and accuracy of trial interpretations.

Related Experiment Videos