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The goal is to allow interaction with continuous variables using marginal structural models.
This requires:
- Environmental Treatments to be extracted from the UKB main dataset
- Work in the TMLE pac…
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Hi,
I am trying to build a sysimage for my project. When I do it locally it works fine, however when I try to do it in a docker image PackageCompiler crashes with the following:
```julia
creat…
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**Is your feature request related to a problem? Please describe.**
The notebooks in `examples/` are currently listed alphabetically. Would it benefit to order them somehow for new users who are gett…
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Hi,
we have a three-arm experiment with a loss to follow up. Chapter 7 from tlverse book https://tlverse.org/tlverse-handbook/tmle3.html says the following:
Missing outcomes are efficiently hand…
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Hello,
in the Matchit-guide and in other associated literature, it is suggested that one should use Outcome Predictors and True Confounders (with impact on both treatment and outcome variable) for …
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Submitting Author: Drew Dimmery (@ddimmery)
Repository: https://github.com/ddimmery/tidyhte/
Submission type: Pre-submission
---
- Paste the full DESCRIPTION file inside a code block belo…
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Hello
The outcome in my dataset is binary and quite sparse, I have 2700 outcomes in a dataset of 44,500 with 28 covariates. Is there a way to make sure that the cross validation folds are stratified …
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**Describe the bug**
Recent builds create pytest failures and lint errors that need diagnosis.
Lint errors occurred in PR #492 and #496
**To Reproduce**
pytest -vs tests/ --cov causalml/
*…
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@pzivich , Is there anyway to know the final weights for superleaner candidate?
In R package `tmle`, you can simply call `tmle$Qinit$coef` or `tmle$g$coef` to know the actual weights for Q and g mod…