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# Appendix: Additional topics of interest | ||
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The literature on mediation analysis has grown considerably in the last few | ||
decades and there are now many novel methods to tackle important questions with | ||
complex data structures. While we are unable to cover all these interesting | ||
methods in this workshop, here we provide a few references for further reading. | ||
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This list is not meant to be comprehensive, just some of our own work and some | ||
work by others that we know and consider interesting. | ||
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## Mediation with multiple mediators and multiple intermediate confounders | ||
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Note that the [`medoutcon` `R` package](https://github.com/nhejazi/medoutcon) | ||
works for multiple mediators but is limited to settings with only a single, | ||
binary intermediate confounder. If your data scenario includes multiple | ||
mediators *and* *multiple* intermediate confounders, you should consider using | ||
the [`HDmediation` `R` package](https://github.com/nt-williams/HDmediation) | ||
instead. | ||
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- [Practical causal mediation analysis: extending nonparametric estimators to | ||
estimate the mediated effects of housing voucher receipt on adolescent risk | ||
behavior](https://arxiv.org/abs/2212.08164) By Kara E. Rudolph, Nicholas | ||
Williams, and Iván Díaz | ||
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## Mediation with monotonicity of A-Z relationship | ||
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- [On identification of natural direct effects when a confounder of the mediator | ||
is directly affected by | ||
exposure](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230499/) by Eric J. | ||
Tchetgen Tchetgen and Tyler J. VanderWeele | ||
- [Efficient and flexible estimation of natural mediation effects under | ||
intermediate confounding and monotonicity | ||
constraints](https://onlinelibrary.wiley.com/doi/abs/10.1111/biom.13850) by | ||
Kara E. Rudolph and Iván Díaz | ||
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## Mediation with instrumental variables | ||
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- [Direct and indirect treatment effects–causal chains and mediation analysis | ||
with instrumental | ||
variables](https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssb.12232) | ||
by Markus Frolich and Martin Huber | ||
- [Causal mediation with instrumental | ||
variables](https://arxiv.org/abs/2112.13898) by Kara E. Rudolph, Nicholas | ||
Williams, and Iván Díaz | ||
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## Mediation with separable effects | ||
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* [An Interventionist Approach to Mediation | ||
Analysis](https://dl.acm.org/doi/abs/10.1145/3501714.3501754) by James M. | ||
Robins, Thomas S. Richardson, and Ilya Shpitser | ||
* [Conditional Separable | ||
Effects](https://www.tandfonline.com/doi/abs/10.1080/01621459.2022.2071276) | ||
by Mats J. Stensrud, James M. Robins, Aaron Sarvet, Eric J. Tchetgen | ||
Tchetgen, and Jessica G. Young | ||
* [Separable Effects for Causal Inference in the Presence of Competing | ||
Events](https://www.tandfonline.com/doi/abs/10.1080/01621459.2020.1765783) by | ||
Mats J. Stensrud, Jessica G. Young, Vanessa Didelez, James M. Robins, and | ||
Miguel A. Hernán | ||
* [A Generalized Theory of Separable Effects in Competing Event | ||
Settings](https://link.springer.com/article/10.1007/s10985-021-09530-8) by | ||
Mats J. Stensrud, Miguel A. Hernán, Eric J. Tchetgen Tchetgen, James M. | ||
Robins, Vanessa Didelez, and Jessica G. Young |
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