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In the package example for two-way fixed effects and sunab(), we can get the ATT as follows:
```
data(base_stagg)
res_twfe = feols(y ~ x1 + i(time_to_treatment, treated,
…
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#858 and PR #2288 propensity score matching
#2443 SUMM issue treatment effects
a few more references to complement #858
in python:
https://github.com/MacHu-GWU/ctmatching-project uses scikit-learn…
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I'm trying to understand what's the source of difference between the confidence intervals (CIs) are generated/plotted by margins() and what I see if I get the the dx/dy from `marginal_effects()` and t…
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This requires to develop the fast-and-robust bootstrap methodology for robust estimators of multilevel models. Such robust estimators are implemented in package [`robustlmm`](https://cran.r-project.or…
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Just an idea while writing a subclass of GMM:
optimal instruments may/will depend on the estimated parameters. Currently, the instruments are always fixed.
One example is nonlinear least squares rep…
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% 600510 OCULAR PIGMENT DISPERSION WITH OR WITHOUT GLAUCOMA; OPDG
Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: a review. JAMA. 2014 May 14;311(18):1901-11. doi: 1…
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I have several questions about the Causal Analysis tab within the RAI dashboard. I hope someone can help me with this :)
I'm using this component, to analyse fairness on the Census Dataset. As treat…
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Hi, I'm trying to do policy optimization using YLearn. I have read the docs about this but didn't understand the meaning very well. Formally, a policy optimization problem can be written as: $x^{*}=\t…
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Hi guys,
and thank you for your amazing work.
I am writing to ask a couple of key questions on the use of causal forests in a setting with panel data, binary outcome, and a continuous, plausibly …
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**Source Name:**
OncoKB
**Source Data Description:**
OncoKB is a precision oncology knowledge base ad contains information about the effects and treatment implications of specific cancer gene …