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- [x] cross-table with cells per year -> mulitplied with parmeter estimations = total avoided loss (+ evtl. conversion factor to emissions)
- [x] put emissions data to panel structure -> re-estimat…
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Defining a treatment effect for the causal random survival forest requires specification of a horizon timepoint.
Should we use the same horizon for all datasets in our main analysis or use data-spe…
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Dear Sir or Madam,
Thanks for the great packages. The multiple comparison have been discussed several times, But I am still not sure how to incorporate for my study. It seems in your published pape…
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Hi, thank you very much for helping out.
I am working on a paper where everyone is treated at some point in time, and the year of treatment differs between people. I am estimating then the treatmen…
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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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see discussion in https://groups.google.com/d/msg/pystatsmodels/WtqcXF3KtJI/wVH4HrHtHVMJ
target: get equivalent to Stata's `teffects`
## References
mix between statistics, econometrics and Stata (…
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I was running "Example Usage with Binary Treatment Synthetic Data" in the Causal Forest Notebook (https://github.com/py-why/EconML/blob/main/notebooks/Causal%20Forest%20and%20Orthogonal%20Random%20For…
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Currently the menu items for 1) sidebar, 2) dropdown menu, and 3) language switcher use inconsistent treatments for hover effects. Furthermore, not all treatments are consistently visible ([example](h…
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Intestinal microbiota influences clinical outcome and side effects of early breast cancer treatment - Safae Terrisse - nature
https://www.nature.com/articles/s41418-021-00784-1
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case 1: investigate 60 edges vs 150 edges for fMRI? particulalrly BNU?
case 2: p-value might not be relevant; want to see if there are groupings that produce better/worse p-values?
+ are there p…