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I'm exploring the function bartc of the bartCause package and am interested in estimating the effects of continuous treatments. I fed in some data to the function with continuous treatment and got som…
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During the precision medicine breakout group, the following were raised from a UAB analyst as desired ranking criteria for identifying drug treatments:
Number of side effects may be converted into …
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# Tobias Larysch | Generic ML Inference on Heterogeneous Treatment Effects
Economist and Data Enthusiast
[https://tlary.github.io/post/genericmlinference/](https://tlary.github.io/post/genericmlinfe…
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I could use some advice on a setting with multiple, distinct treatments. As an example, let's say I make 5 binary choices T_1, T_2, ... , T_5 \in {0,1}.
- Is the best GRF choice for this lm_forest?…
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I've noticed that when specifying a model using the lmer function in the lme4 package which contains factor-type predictors, the suffix indicating the level of the predictor is a character string of t…
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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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### Description
Cancer patients and their caregivers face numerous challenges throughout the treatment journey, including managing treatment plans, appointments, side effects, and accessing reliabl…
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The paper could benefit very much from a paragraph in the discussion or intro that summarizes prior studies. For this issue, one person or a small team could
1. Collect set of relevant papers asses…
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Running JUM v2.02, the example design file given in the manual contains only the experimental condition:
```
condition
ctrl1 control
ctrl2 control
ctrl3 control
treat1 treatment
treat2 tr…
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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,
…