Journal of Epidemiology and Community Health (JECH)

Causal mediation approaches for understanding pathways to inequalities and policy entry points: examples from early years health and development

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.
GitHub

Doubly-Robust-Kernel-Proxy-Variable-Algorithm

This repository provides code for a doubly robust algorithm for Proxy Causal Learning (PCL) using kernel methods, avoiding density ratio estimation. All code is written in Python 3 using the JAX ...
Honi Soit

Half the Population, Half the Data: Women as Confounding Variables in Science

It would be redundant to inform female readers on the medical discrimination we face. I’ve heard countless horror stories, from gastrointestinal diseases dismissed as eating disorders, to ...
TheServerSide

Full GitHub Actions environment variables list for YAML build workflow scripts example

Community driven content discussing all aspects of software development from DevOps to design patterns. If a developer wants to build a workflow, shell script or build job of any merit, they’ll need ...
publichealth.jhu

Biostatistics Dept Seminar: Proximal Causal Inference With Text Data

Abstract: Recent text-based causal methods attempt to mitigate confounding bias by estimating proxies of confounding variables that are partially or imperfectly measured from unstructured text data.
IEEE

Bayesian Spatial Nonparametric Models for Confounding Manifest Variables with an Application to China Earthquake Data

Abstract: We consider a Bayesian nonparametric models for spatial data of mixed category. Moreover, we adopt joint modeling strategy by assuming that responses and confounding variables are ...
PNAS

An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies

Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...
Frontiers

The application of propensity score methods in observational studies

Introduction: In research, it is crucial to accurately estimate treatment effects and analyze experimental results. Common methods include comparing outcome differences between different groups and ...
gut.bmj

Stool consistency as a major confounding factor affecting microbiota composition: an ignored variable?

Correspondence to Professor Jack A Gilbert, Biosciences Division (BIO), Argonne National Laboratory, Argonne, IL 60439, USA; gilbertjack{at}uchciago.edu In this age of the microbiome, the one request ...