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INVESTING
[1] Webull (You can get 3 free stocks setting up a webull account today): https://a.webull.com/8XVa1znjYxio6ESdff

REFERENCES
[1] RCTs may not model ATE exactly as we think. But more importantly, they don’t measure ITEs: https://www.ncbi.nlm.nih.gov/pmc/arti...
[2] Literature Review of Causal Inference + Uplift modeling: https://proceedings.mlr.press/v67/gut...
[3] Quick intro to uplift modeling: https://towardsdatascience.com/aquic...
[4] Why Uplift modeling in marketing is important: https://towardsdatascience.com/whyev...
[5] Uplift Modeling: https://link.springer.com/content/pdf...
[6] Code for causalml: https://github.com/uber/causalml
[7] Section 3 here shows the assumptions that need to be met for an RCT to give an estimate of ATE that is representative of the population: https://rss.onlinelibrary.wiley.com/d...
[8] Causal ML documentation about methodologies to determine CATE: https://causalml.readthedocs.io/en/la...
[9] MIT lecture on covariate adjustment & matching:    • 15. Causal Inference, Part 2  
[10] Microsoft’s Blog post illustrating different methods to determine CATE:   / causalinferencepart2of3selectingalg...  
[11] Wayfair Tech blog that succinctly explains Uplift Decision Trees (I’ll probably make a video on this in the future): https://www.aboutwayfair.com/techinn...
[12] Article that ties the research paper with the metalearner algorithms: https://chowdera.com/2021/10/20211025...