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

Estimating attributable risk from case-control studies.

A S Whittemore

    American Journal of Epidemiology
    |January 1, 1983
    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

    Increased cancer risks for relatives of very early-onset breast cancer cases with and without BRCA1 and BRCA2 mutations.

    British journal of cancer·2010
    Same author

    Tagging single-nucleotide polymorphisms in candidate oncogenes and susceptibility to ovarian cancer.

    British journal of cancer·2009
    Same author

    Validating genetic risk associations for ovarian cancer through the international Ovarian Cancer Association Consortium.

    British journal of cancer·2009
    Same author

    Progesterone receptor variation and risk of ovarian cancer is limited to the invasive endometrioid subtype: results from the Ovarian Cancer Association Consortium pooled analysis.

    British journal of cancer·2008
    Same author

    Population-based estimates of breast cancer risks associated with ATM gene variants c.7271T>G and c.1066-6T>G (IVS10-6T>G) from the Breast Cancer Family Registry.

    Human mutation·2006
    Same author

    Oral contraceptive use and ovarian cancer risk among carriers of BRCA1 or BRCA2 mutations.

    British journal of cancer·2004
    Same journal

    Correction to: Home dampness and molds and occurrence of respiratory tract infections in the first 27 years of life: the Espoo Cohort Study.

    American journal of epidemiology·2026
    Same journal

    A SIMPLE AND POWERFUL TEST OF VACCINE WANING.

    American journal of epidemiology·2026
    Same journal

    Association Between maternal body mass index, offspring growth and pubertal timing: results from a longitudinal birth cohort study.

    American journal of epidemiology·2026
    Same journal

    Correction to: Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims-the ARIC Study.

    American journal of epidemiology·2026
    Same journal

    RE: advancing observational research on arts and health: theory-informed approaches using the RADIANCE framework.

    American journal of epidemiology·2026
    Same journal

    Maternal Cesarean Section and Offspring ASD or ADHD Risk: A Nurses' Health Study II Analysis.

    American journal of epidemiology·2026
    See all related articles

    This study extends Levin's attributable risk measure to handle confounding factors in epidemiological research. New statistical methods provide reliable estimates and confidence intervals for case-control studies, even with small sample sizes.

    Area of Science:

    • Epidemiology
    • Biostatistics

    Background:

    • Confounding factors can distort the estimated association between exposures and outcomes.
    • Traditional measures of attributable risk may not adequately address confounding.
    • Accurate risk estimation is crucial for public health interventions.

    Purpose of the Study:

    • To extend Levin's measure of attributable risk to incorporate confounding.
    • To develop and present maximum likelihood estimates and confidence intervals for the extended measure.
    • To evaluate the performance of these methods in matched and stratified case-control studies.

    Main Methods:

    • Extension of Levin's attributable risk formula.
    • Application of maximum likelihood estimation.
    • Analysis of matched and stratified case-control study designs.

    Related Experiment Videos

  • Computer simulations to assess performance under small sample sizes relative to strata.

    • Main Results:

    • The extended measure effectively accounts for confounding.
    • Maximum likelihood estimates and confidence intervals are provided for the adjusted attributable risk.
    • The methods were illustrated using real-world data on breast cancer and bladder cancer.
    • Simulation results indicate the behavior of estimates and intervals with limited sample size per stratum.

    Conclusions:

    • The proposed extension provides a robust method for estimating attributable risk in the presence of confounding.
    • The developed statistical techniques are applicable to common epidemiological study designs.
    • The findings offer improved tools for quantifying the public health impact of risk factors.