… and binary outcome is a goal of this paper. … estimators for mediation models with a binary
mediator and a binary outcome. We start with an introduction to traditional mediation analysis. …

… In order to address this additional challenge that occurs under the binary mediator setting,
we refer to simulation studies which have shown that regression calibration can also be used …

… mediator that were binary. If we also wanted to allow for exposure–mediator interaction with
a mediator that was binary, … We could once again do this for each mediator that were binary …

… In this paper, we focus on a setting with a binary outcome and a binary mediator, both
modelled via a logistic regression. We provide a novel parametric expression for the natural direct …

… age (the binary outcome)—with alcohol expectancies as the mediator—were examined
to … of mediation analysis with a binary dependent variable. Two different mediation models—a …

… to binary mediators. Suppose that the mediator is binary and the outcome is continuous and
… the following models are correctly specified, which allows for exposure-mediator interaction: …

… Based on Equations (5)–(7), we can now discuss the methods for mediation analysis in the
presence of a continuous mediator. These methods are broadly conceptualized as reflecting …

… Based on the comparisons in this paper we conclude that, for models with a continuous
mediator and binary outcome, traditional mediation analysis may only be used to estimate the …

… models, such as single-step or parallel multiple mediator models in which there is more
than one mediator. Finally, it is a promising direction to analyze the mediation effect with binary …

… mediators on a binary outcome: (a) fit a structural equation model with probit link for the outcome
and identity/probit link for continuous/ordinal mediators, … residual mediator variance and …