Causal Analysis Experiment of Academic Paper's Title length on Number of Citation
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Updated
Jan 11, 2019 - Jupyter Notebook
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
Code/Data/Figure for "Nonparametric Instrumental Variable Estimator for Survival Outcomes"
Review: Data-driven methodology for detecting treatment effect heterogeneity
implement machine learning models from scratch
Keeping track of what is going on with the latest DiD innovations.
Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing
Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
Assignment codes for the coursera course "A Crash Course in Causality: Inferring Causal Effects from Observational Data" by UPenn
Análisis de poblaciones utilizando: Seaborn, Pandas y Matplotlib
Parametric Bayesian Instrumental Variable Methods.
Learning Dynamic Treatment Regime (DTR) via meta-learners
Repo for the case study: Causal Baseball - The Case of Reach on Error
minimal, fast object oriented implementation of the AIPW estimator for many discrete treatments. Implemented with scikitlearners and cross-fitting. Written primarily for OOP practice and customisation.
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