effect modification

effect modification

Epidemiology An interaction among multiple possible cause-and-effect relationships, where the estimate of the effect of one factor on a disease process depends on other factors in the study
References in periodicals archive ?
Effect modification seen by applying chi square test and p-value a$?0.05 considered as significant.
Effect modification was seen based on hospital size and teaching status, with greater gains realized by small and non-teaching hospitals.
Random-effects multivariate meta-regression models were used to test potential effect modification by between-site differences in [PM.sub.2.5] oxidative potential (Borenstein et al.
We used logistic regression to assess the association of diabetes and TB and assessed effect modification between region and diabetes.
Relatedly, many implicit assumptions about the association between food environments and health involve statistically testable assumptions about effect modification. It is clear from the articles in this supplement that examining effect modification is increasingly of interest for researchers.
Logistic regression was used to determine the association between First Nations status and the outcome, assessing for effect modification by age and multi-morbidity.
The findings of an effect modification by prediagnostic use of statins in this study could be explained by several factors.
Lu et al., "Outcomes associated with microalbuminuria: effect modification by chronic kidney disease," Journal of the American College of Cardiology, vol.
Stratified analyses were conducted to evaluate effect modification by age, sex, race, marital status, income, neighborhood poverty rate, social support, and self-reported health status at baseline, with interaction P values based on a Wald test of interaction terms added to the main analysis.
"These data suggest that bottle feeding may play a role in HPS aetiology, and further investigations may help to elucidate the mechanisms underlying the observed effect modification by age and parity," the researchers concluded.
We evaluated demographic, behavioral, reproductive history, and medication covariates for effect modification and confounding.