🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
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Updated
Jul 7, 2023 - TeX
🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
Summary of useful results in Causal Inference
'Caramba y zamba la cosa, que vivan los experimentos!' -from 'Me Gustan Los Estudiantes' by Violeta Parra
Source files for Jake and Ben and Tom's causal inference course materials
This repository contains a literature directory of papers on Earth Observation (EO), Machine Learning (ML), Causal Inference (CI), and Poverty Research.
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
Causal Inference Course Repository
Book project detailing introductory methods for data scientists using R.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity
A seminar paper on causal discovery from log data, focusing on time-series analysis and computational methods in causal inference.
💬 Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
Introductory discussion-oriented talk on causal inference in biomedical and public health research
closed loop identifiability in neural circuits
Data and Program files for Causal Inference: The Mixtape
Shift-Share Instrument Mixtape Track taught by Peter Hull
Poster "Semiparametric estimation and robust empirical Bayes inference in high-dimensional biological studies" for the annual conference of the Superfund Research Program, November 2019
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