WeightIt: an R package for propensity score weighting
- Updated
Nov 15, 2025 - R
WeightIt: an R package for propensity score weighting
Variable importance through targeted causal inference, with Alan Hubbard
The Ontology for Nutritional Studies (ONS) has been developed as part of the ENPADASI European project (http://www.enpadasi.eu/) with the aim to define a common language and building ontologies for nutritional studies.
R package for estimating balancing weights using optimization
Targeted Maximum Likelihood Estimation for Hierarchical Data
Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
An application for creating, validating, reusing and extending sets of clinical codes.
Evaluating the association between blood group and COVID-19
Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"
Implementation for the paper "Doubly robust identification of treatment effects from multiple environments"
[Experimental] Federated Partial Identification for Causal Inference with OMOP CDM
Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes
This repository contains code for curating data and testing hypotheses relating to the College-to-Work Transition study.
Repository for course work done in CIS 443: User Interfaces.
Propensity scores in complex surveys
Casual relationship between health insurance coverage and BMI.
elif oral. cv. research. earthquakes. engineering. geohazards. seismology
Presentation slides for "A Bayesian Causal Inference Approach in Observational Studies with Missingness in Covariates and Outcomes".
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.
Add a description, image, and links to the observational-study topic page so that developers can more easily learn about it.
To associate your repository with the observational-study topic, visit your repo's landing page and select "manage topics."