WeightIt: an R package for propensity score weighting
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Updated
Sep 11, 2024 - R
WeightIt: an R package for propensity score weighting
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.
Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/
elif oral. cv. research. earthquakes. engineering. geohazards. seismology
Code for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"
This repository contains code for curating data and testing hypotheses relating to the College-to-Work Transition study.
This is Loan Robinson Github Page, which includes all tutorials for education purpose.
Virtual coach Jamie for setting physical activity plans with users that users are committed to.
This github repository contains the code for the chatbot Steph that is created for the thesis project: Using Reinforcement Learning to Personalize Daily Step Goals for a Collaborative Dialogue with a Virtual Coach.
Propensity scores in complex surveys
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
Casual relationship between health insurance coverage and BMI.
Variable importance through targeted causal inference, with Alan Hubbard
An application for creating, validating, reusing and extending sets of clinical codes.
R package for estimating balancing weights using optimization
Presentation slides for "A Bayesian Causal Inference Approach in Observational Studies with Missingness in Covariates and Outcomes".
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.
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.
Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes
This program uses data from JPL Horizons to calculate when that object will be at opposition. It automates finding oppositions for creating observation plans for telescopic observations.
Add a description, image, and links to the observational-study topic page so that developers can more easily learn about it.
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