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Thanks a lot for the package!!!
I would like o ask you, is it possible to use the influence function to get individual treatment effects?
We cannot predict with the `did` package, I would like to ge…
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Hi @kbattocchi ,
I used the following code to calculate the ATE for my panel data (around ~$18).
dml = DynamicDML(model_y=outcome_model,
model_t=treatment_model,
…
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Hi!
Great package. Thanks for pulling this off. I was wondering is there is a way to use this package to make individual level treatment effect predictions. That is, I want to know whether I can us…
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Below is my code to estimate treatment effects. There is a much wider confidence interval of ATT (i.e., [-200k, 900k]) by Causal Forest DML model, compared to that calculated by linear DML model (i.e,…
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Hello,
I am currently trying to use your g-formula (R package) to estimate the controlled direct effect in a competing risks setting (due to death). I am specifically modelling my code off of the vig…
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def: Therapeutic administration of an analog of alpha-melanocyte–stimulating hormone such as afamelanotide.
parent: hormone modifying therapy (MAXO:0001491)
comment: Treatment with afamelanoti…
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Following things to do before next meeting with Scott:
1. Trimming based on event time: restrict treatment effects to 3-leads/lags while keeping everything else the same.
2. Take the 8 counties …
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Hey, I'm getting started with CATE models in econml and I have been exploring examples for discrete treatments with p > 2. Is there in-built support for these, and how can I formulate such an example?…
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Hello, and thank you for the great work on this package. I would like to perform covariate balancing from inverse probability weights constructed with the `ipw` package to perform a marginal structura…
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- [X] I have searched the existing issues
### Feature Description
Thyroid disease involves disorders of the thyroid gland, which plays a crucial role in reg…