Replication code for "Indian judges show no gender or religious in-group bias" (Ash et al. 2020)
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Updated
Feb 3, 2021 - Stata
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"
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.
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
TWFE/DID recent literature exploration
📊 🌐 🧑🏫 Website for undergraduate-level course on Educational Research and Evaluation (built with Quarto)
Causal Analysis Experiment of Academic Paper's Title length on Number of Citation
💬 Talk: "methyvim: Data-Adaptive Estimation and Inference for Targeted Differential Methylation Analysis"
Reproducibility materials for "Cross-Screening in Observational Studies that Test Many Hypotheses" by Qingyuan Zhao, Dylan S. Small & Paul R. Rosenbaum
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Introductory discussion-oriented talk on causal inference in biomedical and public health research
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