It is a widely held belief in public health and clinical decision-making that interventions or
preventive strategies should be aimed at patients or population subgroups where most …

Abstract Evaluation of statistical interaction in time-to-event analysis is usually limited to the
study of multiplicative interaction, via inclusion of a product term in a Cox proportional …

Interaction analysis is a critical component of clinical and public health research and
represents a key topic in precision health and medicine. In applied settings, however …

A number of measures have been proposed to assess interaction on the additive or risk
difference scale between the effects of two exposures. Assessing such additive interaction is …

Estimates of additive interaction from case-control data are often obtained by logistic
regression; such models can also be used to adjust for covariates. This approach to …

PURPOSE: We describe a method for testing and estimating a two-way additive interaction
between two categorical variables, each of which has greater than or equal to two levels …

Interaction measured on the additive scale has been argued to be better correlated with
biologic interaction than when measured on the multiplicative scale. Measures of interaction …

Interactions measured on the additive scale are more relevant than multiplicative interaction
for assessing public health importance and also more closely related to notions of …

The Cox proportional hazards model has become the standard in biomedical studies,
particularly for settings in which the estimation covariate effects (as opposed to prediction) is …

OBJECTIVE: Attributable fraction in the exposed and (population) attributable fraction have
been extensively used to determine the proportion of cases of a particular disease that can …