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

Adjusted odds ratios for case-control studies with missing confounder data in controls

S Suissa1, M D Edwardes

  • 1Division of Clinical Epidemiology, Royal Victoria Hospital, Montréal, Québec, Canada.

Epidemiology (Cambridge, Mass.)
|May 1, 1997
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

Pioglitazone and bladder cancer: improving research methods.

Diabetic medicine : a journal of the British Diabetic Association·2020
Same author

A systematic review of observational studies of the association between pioglitazone use and bladder cancer.

Diabetic medicine : a journal of the British Diabetic Association·2018
Same author

Drospirenone-containing oral contraceptive pills and the risk of venous thromboembolism: a systematic review of observational studies.

BJOG : an international journal of obstetrics and gynaecology·2017
Same author

Cardiotoxicity of aromatase inhibitors and tamoxifen in postmenopausal women with breast cancer: a systematic review and meta-analysis of randomized controlled trials.

Annals of oncology : official journal of the European Society for Medical Oncology·2016
Same author

Drospirenone-containing combined oral contraceptives and the risk of arterial thrombosis: a population-based nested case-control study.

BJOG : an international journal of obstetrics and gynaecology·2016
Same author

Concern on quality-of-life analysis in the OPTIMAL study.

Annals of oncology : official journal of the European Society for Medical Oncology·2013
Same journal

Application of the E-value under non-proportional hazards.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Can the All of Us sample be reweighted to mirror a nationally representative sample? A comparison of mortality predictors.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Gut health, systemic inflammation, and linear growth among Indonesian infants: findings from the Action Against Stunting Hub observation cohort: Erratum.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Evaluating Estimators in Partially Identified Models.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Stratification and accumulation? Explaining changing mortality inequities between business owners and non-owners in the U.S. (1984-2022).

Epidemiology (Cambridge, Mass.)·2026
Same journal

Be wary of age-stratum aging in early-onset cancer trends.

Epidemiology (Cambridge, Mass.)·2026
See all related articles

This study introduces a method to estimate relative risk in case-control studies when confounder data is only available for cases. This approach allows for adjusted risk estimates even with incomplete confounder information, improving epidemiological research.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health

Background:

  • Nonexperimental studies frequently face missing confounder data in computerized databases.
  • Case-control studies often lack confounder data for controls, hindering adjusted relative risk estimation.
  • Existing methods are insufficient for adjusted risk estimation when confounder data is only available for cases.

Purpose of the Study:

  • To propose conditions and derive formulae for obtaining adjusted relative risk estimates with confounder data available only for cases.
  • To address the challenge of incomplete confounder information in case-control studies.
  • To develop a method requiring external estimates of confounder prevalence or confounder-exposure odds ratio.

Main Methods:

  • Development of simple conditions for adjusted relative risk estimation.

Related Experiment Videos

  • Derivation of formulae for the estimator and its confidence limits.
  • Application of the technique to a nested case-control study of bronchodilator use and acute cardiac death in asthmatics, with smoking as the confounder.

    • Main Results:

    • Demonstrated a method to obtain adjusted relative risk estimates when confounder data is limited to cases.
    • The technique requires external data on confounder prevalence or confounder-exposure odds ratio.
    • Successfully illustrated the method using a real-world epidemiological dataset.

    Conclusions:

    • The proposed method provides a viable solution for estimating adjusted relative risk in situations with incomplete confounder data.
    • This approach enhances the analytical capabilities of case-control studies, particularly in observational research.
    • The findings contribute to more robust epidemiological analyses by enabling adjustment for confounding factors even with data limitations.