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 Experiment Videos

Assessing treatment effects in caries trials using ordered categorical data.

J L Fleiss

    Journal of Dental Research
    |May 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    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

    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

    Power law behavior of RR-interval variability in healthy middle-aged persons, patients with recent acute myocardial infarction, and patients with heart transplants.

    Circulation·1996
    Same author

    Vagal modulation of RR intervals during head-up tilt and the infusion of isoproterenol.

    The American journal of cardiology·1995
    Same author

    RR variability in healthy, middle-aged persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction.

    Circulation·1995
    Same author

    Exploratory or analytic meta-analysis: should we distinguish between them?

    Journal of clinical epidemiology·1995

    Analyzing caries trial results using ordered categorical data requires specific methods. This study discusses computational challenges and patient selection in randomized clinical trials for dental caries.

    Area of Science:

    • Dental Research
    • Clinical Trials
    • Biostatistics

    Background:

    • Caries trials often yield data on an ordered categorical scale.
    • Existing analysis methods, like Grainger's Severity Index, have limitations.
    • Complex statistical approaches are needed for comprehensive analysis.

    Purpose of the Study:

    • To review and discuss methods for analyzing caries trial data with ordered categorical outcomes.
    • To address computational complexities associated with advanced analytical techniques.
    • To explore the impact of patient selection and treatment reversals on trial results.

    Main Methods:

    • Application of established and modified analytical methods to randomized clinical trial data.
    • Focus on methods suitable for ordered categorical response variables in caries research.

    Related Experiment Videos

  • Discussion of statistical challenges including computational intensity and data phenomena.

    • Main Results:

    • Several analytical methods are suitable for ordered categorical data in caries trials.
    • Increased informativeness of methods correlates with higher computational difficulty.
    • Patient selection and treatment reversals present unique analytical considerations.

    Conclusions:

    • The choice of analytical method in caries trials depends on balancing informativeness and computational feasibility.
    • Understanding phenomena like reversals and patient selection is crucial for accurate interpretation of trial outcomes.
    • Further research may be needed to develop more computationally efficient, yet informative, analytical tools for dental caries studies.