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

Test for additive interaction in proportional hazards models.

Rongling Li1, Lloyd Chambless

  • 1Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA. rli2@utmem.edu

Annals of Epidemiology
|February 27, 2007
PubMed
Summary

This study introduces a method to test additive interactions between categorical variables. Relative excess risk due to interaction (RERI) is recommended for assessing additivity in proportional hazards 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

ERCC6L drives lung adenocarcinoma metastasis: a PJA2/p53 ubiquitination-dependent mechanism.

Respiratory research·2026
Same author

Integrative analysis of GWAS, Bayesian fine-mapping, Mendelian randomization and colocalization reveals genetic determinants underlying milk-related traits in dairy cattle.

Genetics, selection, evolution : GSE·2026
Same author

Integrated Analysis of Proteomics and Metabolomics for Heat Stress in Chinese Holstein Cows.

Animals : an open access journal from MDPI·2025
Same author

Bayesian fine-mapping and Mendelian randomization leveraging expression quantitative trait loci reveal novel candidate causal genes for body conformation traits in cattle.

Journal of dairy science·2025
Same author

Genetic Parameters of Semen Traits and Their Correlations with Conformation Traits in Chinese Holstein Bulls.

Veterinary medicine international·2024
Same author

Author Correction: Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection.

Scientific reports·2023

Area of Science:

  • Epidemiology
  • Biostatistics
  • Statistical Modeling

Background:

  • Interaction analysis is crucial in understanding complex disease relationships.
  • Distinguishing between additive and multiplicative interactions is essential for accurate interpretation.

Purpose of the Study:

  • To present a method for testing and estimating two-way additive interactions between categorical variables.
  • To compare measures of additivity within a proportional hazards framework.

Main Methods:

  • Testing additive and multiplicative interactions simultaneously using a proportional hazards model.
  • Utilizing relative excess risk due to interaction (RERI), proportion of disease attributable to interaction (AP), and synergy index (S) to measure additivity.
  • Conducting a simulation study and applying the method to the Atherosclerosis Risk in Communities cohort data.

Related Experiment Videos

Main Results:

  • Additivity measures are independent of follow-up time and covariates.
  • Relative excess risk due to interaction (RERI) demonstrated superior performance in simulations.
  • Additive interactions can be statistically significant (RERI=1.14, p=0.04) while multiplicative interactions are not (beta3=0.59, p=0.12), and vice versa.
  • Additive and multiplicative interactions can manifest in opposing directions.

Conclusions:

  • The proposed method is applicable to various regression models with a rate as the dependent variable.
  • Caution is advised when interpreting statistically significant additive and multiplicative interactions in opposite directions.