A Python package for causal inference in quasi-experimental settings
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A Python package for causal inference in quasi-experimental settings
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가짜연구소 <인과추론과 실무> 프로젝트
Taking causal inference to the extreme!
This is a showcase code from a real quasi-experiment (Diff-in-Diff) evaluation I led with Save the children US in Iraq on child rearing practices and early childhood development.
Emergency Detection of Covid-19 Patients Using Android-Based Electronic Early Warning Score System
The context of this repo is sharing the empiric work presented as my MPA thesis on July 2023. The research is title is: "Remittances vs Public Finance Capacity. Impact Assessment in Reducing Income Inequality in Latin America: A Quasi-Experimental Analysis"
Satellite-based causal attribution of coastal water clarity degradation to nickel smelting expansion at Indonesia's Morowali Industrial Park using Bayesian structural time series, multi-algorithm changepoint detection, and Sentinel-2 land cover intensity analysis.
Replication files for Skinner & Doyle (2021) Do civic returns to higher education differ across subpopulations? An analysis using propensity forests
Learning resources for matching and weighting methods
Project: Analysis of a Synthetic Dataset based on the study "Gender Inclusive Approaches for Leishmaniasis Treatment in West Pokot County". This repository demonstrates common statistical tests used in Monitoring & Evaluation (M&E) and Research using Python, featuring a randomly generated synthetic dataset simulating real-world health research .
The code for my thesis, as well as the thesis itself.
Statistical analysis of a quasi-experimental study evaluating EMDR therapy for PTSD among ICU healthcare professionals. Applied longitudinal methods (ANOVA, ANCOVA, GLM) to assess intervention effects and generate actionable mental health insights from clinically meaningful outcomes
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