🎯 🔀 Targeted Learning for Causal Mediation Analysis
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Updated
Jun 5, 2022 - R
🎯 🔀 Targeted Learning for Causal Mediation Analysis
Tool to extract causal relationships from biological and medical databases that are in tabular format
Replication code for "Indian judges show no gender or religious in-group bias" (Ash et al. 2020)
R code for causal graph animations
Guided Project on Essential Causal Inference Techniques in Data Science
Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
Developing and Evaluating Causal Inference Methods for Pragmatic Trials
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
CDAD-UH 1043EQ Data and Society | Fall 2021 | Final Project
Studied residential choices as the causal inference of academic involvement levels.
In this project we will run an A/B testing analysis by leveraging the Chi-Square test for independence and assess the impact of a new ecommerce web page on the users conversion rate compared to an old web page.
Curso de Econometría con un aplicaciones en Python
Used R to implement concept of causal inference, confidence intervals, etc.
We performed the Difference-In-Difference analysis to check whether there is causal effect between sponsored search ads and organic clicks on Google search platform.
Two-sample two-stage least squares estimation
CFAD: Achieving Counterfactual Fairness for Anomaly Detection (PAKDD 2023)
A PyTorch implementation of the "robust" synthetic control model
TWFE/DID recent literature exploration
Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia
Causal machine learning course in Python
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