Closed eb8680 closed 1 month ago
@eb8680, one quick question, shall we use pyro
or causal_pyro
to implement this and #21 examples? Is the causal_pyro
ready with some basic get-started cases to use?
@qinqian you should be able to get started along the same lines as the other examples (e.g. slc.ipynb
) by creating a new notebook with the following sections:
If you get stuck with these at any point, feel free to put up a draft pull request and ask for help or feedback. The existing examples currently have steps 1-3 completed, and we're working on finishing steps 4-5 (e.g. #59).
Thanks @eb8680!
A relevant about the Mendelian randomization: https://www.nature.com/articles/s41467-023-41394-4.
Published version of the Deep IV paper:
J. Hartford, G. Lewis, K. Leyton-Brown, and M. Taddy, “Deep IV: A Flexible Approach for Counterfactual Prediction,” in Proceedings of the 34th International Conference on Machine Learning, PMLR, Jul. 2017, pp. 1414–1423. Available: https://proceedings.mlr.press/v70/hartford17a.html
As in the other examples, the easiest way to approach this is probably to pick a single paper and reproduce its model and results.
Some candidate papers: