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Agonistic interaction is one of the most important types of mechanistic interaction, which is difficult to be distinguished from synergistic interaction by empirical data. In this study, we propose four approaches that suffice to identify and estimate the agonistic interaction: (1) to make a strong assumption that synergism does not exist; (2) to exploit information from a third factor by assuming...
We propose an approach to conduct mediation analysis for survival data with time‐varying exposures, mediators, and confounders. We identify certain interventional direct and indirect effects through a survival mediational g‐formula and describe the required assumptions. We also provide a feasible parametric approach along with an algorithm and software to estimate these effects. We apply this method...
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