Lucas Shen Y. S. LSYS
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11:08
(UTC +08:00) - https://www.lucasshen.com
Highlights
- Pro
ci
Stata commands designed for Impact Evaluations in particular, but also data work in general
python implementation of Peng Ding's "First Course in Causal Inference"
A curated list of causal inference libraries, resources, and applications.
A Python package for modular causal inference analysis and model evaluations
GitHub Actions for GitHub Pages π Deploy static files and publish your site easily. Static-Site-Generators-friendly.
Notebooks for Applied Causal Inference Powered by ML and AI
A collection of visual guides to help applied scientists learn causal inference.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin...
Tutorial_Computational_Causal_Inference_Estimators
The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mea...
Synthetic difference in differences for Python
Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
R package for power calculations and visualization for pre-trends tests