Add to ORKGDefinitions are given for weak and strong sufficient cause interactions in settings in which the outcome is binary and in which there are two exposures of interest that are categorical or ordinal. Weak sufficient cause interactions concern cases in which a mechanism will operate under certain values of the two exposures but not when one or the other of the exposures takes some other value. Strong sufficient cause interactions concern cases in which a mechanism will operate under certain values of the two exposures but not when one or the other of the exposures takes any other value. Empirical conditions are derived for such interactions when exposures have two or three levels and are related to regression coefficients in linear and log-line...
From the assessment of statistical interaction between risk factors it is tempting to infer the natu...
To detect gene-environment interactions, a logistic regression model is typically fitted to a set of...
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend th...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
A sufficient cause interaction between two exposures signals the presence of individuals for whom th...
Sufficient-component causes are discussed within the potential outcome framework so as to formalize ...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
A mathematical model of the sufficient-component cause framework is considered based on the theories...
The interaction contrast of disease rates (ICDR), a measure of deviation from an additive model of n...
Estimates of additive interaction from case-control data are often obtained by logistic regression; ...
Estimates of additive interaction from case-control data are often obtained by logistic regression; ...
The 1970s and 1980s saw the appearance of many papers on the topics of synergy, antagonism, and simi...
Abstract Background Sufficient-cause interaction is a type of interaction that has received much att...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
<p>Single-headed arrows indicate causal effects and doubled-headed arrows indicate unresolved associ...
From the assessment of statistical interaction between risk factors it is tempting to infer the natu...
To detect gene-environment interactions, a logistic regression model is typically fitted to a set of...
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend th...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
A sufficient cause interaction between two exposures signals the presence of individuals for whom th...
Sufficient-component causes are discussed within the potential outcome framework so as to formalize ...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
A mathematical model of the sufficient-component cause framework is considered based on the theories...
The interaction contrast of disease rates (ICDR), a measure of deviation from an additive model of n...
Estimates of additive interaction from case-control data are often obtained by logistic regression; ...
Estimates of additive interaction from case-control data are often obtained by logistic regression; ...
The 1970s and 1980s saw the appearance of many papers on the topics of synergy, antagonism, and simi...
Abstract Background Sufficient-cause interaction is a type of interaction that has received much att...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
<p>Single-headed arrows indicate causal effects and doubled-headed arrows indicate unresolved associ...
From the assessment of statistical interaction between risk factors it is tempting to infer the natu...
To detect gene-environment interactions, a logistic regression model is typically fitted to a set of...
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend th...