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

Coding ordinal independent variables in multiple regression analyses.

S D Walter, A R Feinstein, C K Wells

    American Journal of Epidemiology
    |February 1, 1987
    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

    THE PRE-THERAPEUTIC CLASSIFICATION OF CO-MORBIDITY IN CHRONIC DISEASE.

    Journal of chronic diseases·2015
    Same author

    NATURAL HISTORY AND TREATMENT OF RHEUMATIC FEVER.

    A listing of research in the cardiovascular field·2014
    Same author

    II. Treatment and Prevention.

    The Yale journal of biology and medicine·2011
    Same author

    Misguided efforts and future challenges for research on "diagnostic tests".

    Journal of epidemiology and community health·2002
    Same author

    Prediction of bile duct stones and complications in gallstone pancreatitis using early laboratory trends.

    The American journal of gastroenterology·2002
    Same author

    Rigorous new approach to constructing a gold standard for validating new diagnostic criteria, as exemplified by the eosinophilia-myalgia syndrome.

    Archives of internal medicine·2001

    This study introduces a new coding scheme for ordinal variables in regression analysis. This method helps identify significant changes in response variables at different levels of independent variables, aiding dose-response studies.

    Area of Science:

    • Biostatistics
    • Statistical Modeling

    Background:

    • Ordinal independent variables present challenges in standard regression analyses.
    • Identifying dose-response relationships and critical thresholds is crucial in many scientific fields.

    Purpose of the Study:

    • To present a novel coding scheme for ordinal independent variables.
    • To facilitate regression analyses, particularly dose-response studies.
    • To aid in identifying critical threshold values in independent variables.

    Main Methods:

    • Development of a coding scheme for ordinal independent variables.
    • Application of the scheme in various regression models, including linear, logistic, and proportional hazards regression.
    • Illustrative example using lung cancer patient survival data based on symptomatology stage.

    Related Experiment Videos

    Main Results:

    • The proposed coding scheme enables effective analysis of contrasts between successive levels of ordinal independent variables.
    • It allows for the identification of critical threshold values where significant changes in the response variable occur.
    • Demonstrated utility in a real-world example of cancer patient survival analysis.

    Conclusions:

    • The coding scheme provides a valuable tool for regression analysis involving ordinal independent variables.
    • It enhances the ability to interpret dose-response relationships and identify critical thresholds.
    • Applicable across diverse regression models for robust scientific inquiry.