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
Clinical causal inference tutorial with R: DAGs, propensity scores, IPW, double robustness, TMLE, and E-values for observational studies and target trials
R package for the estimation of causal effects.
Measuring the True Incremental Lift of Advertising Using Inverse Probability Weighting (IPW)
Generic functions for experiment analysis and design
Scalable covariate-balancing propensity scores (CBPS) and IPW/AIPW causal-inference estimators in R: a full pipeline on tens of millions of rows within a fixed memory budget, for EHR and national-registry cohorts. Benchmarked against reference packages.
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).
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.
Causal decomposition of recommender-system feedback loops + user-controlled algorithm weights. Imperial MSc Project.
Causal Inference in Healthcare: Treatment Effect Analysis
A causal machine learning framework for evaluating dynamic surge pricing policies using inverse probability weighting and NYC taxi trip data.
Repo for the paper "Inference for non-probability samples using the calibration approach for quantiles"
Causal Econometrics (M.A. course at UNISG, Python code)
Add a description, image, and links to the ipw topic page so that developers can more easily learn about it.
To associate your repository with the ipw topic, visit your repo's landing page and select "manage topics."