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 risks for matching factors in case-control studies.

V Siskind1, J P Kelly, D W Kaufman

  • 1The University of Queensland Medical School, Herston, Australia.

Journal of Clinical Epidemiology
|April 13, 2000
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

Assessing specific deterrence effects of increased speeding penalties using four measures of recidivism.

Accident; analysis and prevention·2015
Same author

Survival in commercially insured multiple sclerosis patients and comparator subjects in the U.S.

Multiple sclerosis and related disorders·2015
Same author

Profiling high-range speeding offenders: investigating criminal history, personal characteristics, traffic offences, and crash history.

Accident; analysis and prevention·2014
Same author

Consumer perceptions of medication warnings about driving: a comparison of French and Australian labels.

Traffic injury prevention·2013
Same author

Hospital outpatients' responses to taking medications with driving warnings.

Traffic injury prevention·2012
Same author

Some behavioural and neurochemical effects of ipsapirone in two rodent models of depression.

Journal of psychopharmacology (Oxford, England)·2012
Same journal

A comparison of five statistical methods used to analyse longitudinal EORTC QLQ-C30 quality of life scores in randomised controlled trials: a simulation study.

Journal of clinical epidemiology·2026
Same journal

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026
Same journal

Many multicenter randomized controlled trials do not account for center effect: a methodological review.

Journal of clinical epidemiology·2026
Same journal

Patient Acceptability of the Modified Zelen Approach to Randomized Trials - A Survey of the CAPS THA Cohort.

Journal of clinical epidemiology·2026
Same journal

Corrigendum to SPICE-GRADE: simultaneous processing of indirect causal evidence in complex pathways using GRADE - an exploratory case study. [Journal of Clinical Epidemiology, 194C (2026) 112219].

Journal of clinical epidemiology·2026
Same journal

Small numbers of clusters in cluster randomised trials: a scoping review of problems and proposed solutions.

Journal of clinical epidemiology·2026
See all related articles

This study introduces a novel method to evaluate matching factors as risk factors in case-control studies. It allows for better inference on matching factors, even with incomplete data, by adjusting Poisson regression models.

Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Matching is common in case-control studies to reduce confounding.
  • However, it limits inference on the matching factors themselves unless specific data conditions are met.

Purpose of the Study:

  • To propose a new statistical method for evaluating matching factors as risk factors in case-control studies.
  • To enable valid inferences about matching factors even with incomplete case ascertainment or sparse matching strata.

Main Methods:

  • A novel method is proposed using reference series confounder distribution and relative risk estimates.
  • This method adjusts the person-time proportionality constant in a Poisson regression model.
  • It accommodates additional confounders and requires estimating an extra variance-covariance component.

Related Experiment Videos

Main Results:

  • The proposed method is suitable for datasets with few cases or controls within matching strata.
  • It integrates standard analytical procedures with adjustments for evaluating matching factors.
  • Demonstrated utility in case-control studies of agranulocytosis and ovarian cancer.

Conclusions:

  • The developed method enhances the ability to assess matching factors as independent risk factors.
  • It provides a robust approach for analyzing matched case-control data, especially in challenging scenarios.
  • This technique improves the interpretability of matching in epidemiological research.