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

The analysis of pair-matched case-control studies, a multivariate approach

T R Holford

    Biometrics
    |December 1, 1978
    PubMed
    Summary

    This study presents a log-linear model for analyzing matched case-control studies with multiple variables. It offers a conditional inference method for understanding variable-disease associations, similar to paired comparison models.

    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

    Longitudinal associations between asthma and general and abdominal weight status among Norwegian adolescents and young adults: the HUNT Study.

    Pediatric obesity·2014
    Same author

    Re-analysis of the PREGNANT trial confirms that vaginal progesterone reduces the rate of preterm birth in women with a sonographic short cervix.

    Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2014
    Same author

    Use of hair colouring products and risk of multiple myeloma among US women.

    Occupational and environmental medicine·2008
    Same author

    Physiogenomic comparison of weight profiles of olanzapine- and risperidone-treated patients.

    Molecular psychiatry·2007
    Same author

    Cigarette smoking and risk of non-Hodgkin lymphoma subtypes among women.

    British journal of cancer·2003
    Same author

    Glutathione S-transferase M1 and T1 genetic polymorphisms, alcohol consumption and breast cancer risk.

    British journal of cancer·2003

    Area of Science:

    • Biostatistics
    • Epidemiology
    • Statistical Modeling

    Background:

    • Matched case-control studies often require analyzing multiple variables simultaneously.
    • Existing methods may not adequately address complex associations in such designs.
    • Log-linear models offer a flexible framework for categorical data analysis.

    Purpose of the Study:

    • To introduce a log-linear model for analyzing matched case-control studies with multiple variables.
    • To develop a conditional inference method for estimating parameters of variable-disease associations.
    • To provide practical estimation techniques for the proposed model.

    Main Methods:

    • A conditional argument is used to derive inferences on association parameters.
    • Maximum conditional likelihood estimates are obtained via two approaches.
    • These include fitting a quasi-independence model and a linear logistic model.

    Main Results:

    • The proposed log-linear model effectively handles multiple variables in matched case-control studies.
    • The conditional inference method provides a robust way to assess variable-disease associations.
    • The two estimation methods yield comparable results, offering flexibility in application.

    Conclusions:

    • The presented log-linear model is a valuable tool for complex matched case-control data analysis.
    • The conditional inference approach facilitates understanding of disease-related factors.
    • The methodology is illustrated with practical examples, demonstrating its utility.

    Related Experiment Videos