title: Additive risk versus additive relative risk models.
abstract: The distinction between additive risk models and additive relative risk models is important when nonadditivity is used as a criterion for interdependence of causal effects (causal interaction). I show here that, in stratified studies, additive relative risk models do not provide the often-assumed correspondence between additivity and absence of causal interaction. Under the causal models of Rothman and others, complete assessment of causal interaction requires that one fit additive risk models; in matched case-control studies, such fitting may require external information.
authors.affiliation: Department of Epidemiology, UCLA School of Public Health 90024-1772.
authors.forename: S
authors.initials: S
authors.lastname: Greenland
mesh_terms: D015984:Causality; D003069:Coffee / Q000009:adverse effects; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000453:epidemiology / Q000209:etiology; D012306:Risk; D012907:Smoking / Q000009:adverse effects
chemical_list: D003069:Coffee