Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

Conquering confounds and covariates: methods, library and guidance

NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis

☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention

A library for minimizing the effects of confounding covariates

Shiny-Tool for investigation of metabolite-covariate relationships

SNP abundance correlates with network degree

DAG Builder

Accounting for hidden confounders in estimates of dose-response curves from observational data.

CLI that applies the Clever Materials falsification test to materials-science ML datasets: detects confounding via a bibliographic fingerprint (year/author/journal leaking the target). Built on Jablonka 2026 (arXiv:2602.17730) + Huang&Cole / Nandy datasets (Scientific Data).

Source code for off-policy evaluation and optimization in the presence of unobserved confounding, accepted to AISTATS 2024.

Code for a probabilistic sensitivity analysis of an unmeasured confounder

An R-Package to perform Time-Dependent Matching for Causal Inference in Discrete and Continuous Time

When Shift Happens - Confounding is to Blame (ICLR 2026)

Confounding issues in air pollution epidemiology: an empirical assessment with the UK Biobank cohort

blopmatch: Matching Estimator based on a Bilevel Optimization Problem

Coursework, Stata code, and notes for PBHS 31001: Epidemiologic Methods (Winter 2024, University of Chicago). Topics include bias, confounding, effect modification, cohort and case-control study design, and logistic/Poisson regression. The course emphasizes observational study design and practical applications using Stata.

Stratified Analysis using R - Beginner Level

Tools Finding Confounders