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)

Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

An application for creating, validating, reusing and extending sets of clinical codes.

Evaluating the association between blood group and COVID-19

This is Loan Robinson Github Page, which includes all tutorials for education purpose.

Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes

elif oral. cv. research. earthquakes. engineering. geohazards. seismology

Casual relationship between health insurance coverage and BMI.

Presentation slides for "A Bayesian Causal Inference Approach in Observational Studies with Missingness in Covariates and Outcomes".

Server infrastructure for observing study participants actions from a corresponding app. Ability to adjust to the needed requirements and to do automated basic statistical analysis.

Android app infrastructure for observing various web applications. For example mimicking a special app to get insights how users are using it. Especially interesting for the usage of design patterns.

An analysis of weather patterns in over 500 countries, using python-api and matplotlib

Propensity scores in complex surveys

This repository contains code for curating data and testing hypotheses relating to the College-to-Work Transition study.