Epidemiology analysis package
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Tools for sensitivity analysis for weighted estimators
Generic functions for experiment analysis and design
In the project, I use reweighing and RIF (recentered influence function) to tackle wage decomposition on quantile. It is written in R and the maths parts are written from scratch (no package uesd).
Causal Inference in Healthcare: Treatment Effect Analysis
This R package calculates various measures of association and helps understand and visualize the link between causal models such as Marginal Structural Models and Standerdized measures.
Repo for the paper "Inference for non-probability samples using the calibration approach for quantiles"
Causal Econometrics (M.A. course at UNISG, Python code)
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