CausalLift: Python package for causality-based Uplift Modeling in real-world business

• UpdatedMay 13, 2023
• Python

📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

• UpdatedFeb 5, 2025
• R

Bootstrapping for Propensity Score Analysis

• UpdatedOct 23, 2023
• R

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.

• UpdatedJan 5, 2023
• HTML

Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.

• UpdatedAug 27, 2024
• Stata

do the green drivers also drive longer? --- causal identification using the propensity score approach

• UpdatedNov 20, 2018

counterfactual matching

• UpdatedFeb 20, 2025
• Stata

Multinomial Propensity Score Trimming (Am J Epidemiol 2018)

• UpdatedNov 27, 2018
• R

TI Methods Speaker Series in collaboration with the Student and Recent Graduate Committee (SARGC) of the Statistical Society of Canada.

• UpdatedOct 24, 2020
• HTML

Propensity Score Analysis Graphics

• UpdatedMar 5, 2024
• R

implement machine learning models from scratch

• UpdatedApr 21, 2022
• Python

How to use the Machine Learning Runtime and MLflow on top of a health Delta Lake to predict patient disease

• UpdatedJun 21, 2023
• Python

R package for propensity score weighting using machine learning methods

• UpdatedDec 8, 2020
• R

Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.

• UpdatedMar 22, 2019
• R

Measuring the effect of diagnostic delays of fungal pathogens on healthcare costs. Linked Marketscan ICD-10 data on symptom and diagnosis dates. Quantile binning probability weighting was used to account for the causal relationship of time. Categorical regressions were conducted for a zero-inflated exposure.

• UpdatedFeb 15, 2025
• R

R code for the analyses conducted in Friedrich, S & Friede, T (2020). Causal inference methods for small non-randomized studies: Methods and an application in COVID-19. Submitted to Contemporary Clinical Trials.

• UpdatedOct 7, 2020
• R

Code and presentation for project utilizing causal inference to determine the impacts of high physical activity on mortality using data from the National Health and Nutrition Examination Survey (NHANES). Results of hackathon at University of Minnesota Equitable Data Science in Adolescent Development REU.

• UpdatedJul 29, 2024
• HTML

POM-PS tests for genetic associations of secondary traits from case-control GWAS.

• UpdatedAug 6, 2019
• R

Propensity score assignment

• UpdatedJan 21, 2019
• R

Replication of the paper "Voting Made Safe and Easy: The impact of e-voting on Citizen Perceptions," by Alvarez et. al and its extension using genetic matching.

• UpdatedJul 27, 2021
• Jupyter Notebook