Variable importance through targeted causal inference, with Alan Hubbard
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Updated
Mar 24, 2023 - R
Variable importance through targeted causal inference, with Alan Hubbard
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.
Targeted Maximum Likelihood Estimation for Hierarchical Data
Evaluating the association between blood group and COVID-19
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
R package for estimating balancing weights using optimization
Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes
Repository for course work done in CIS 443: User Interfaces.
elif oral. cv. research. earthquakes. engineering. geohazards. seismology
Propensity scores in complex surveys
An analysis of weather patterns in over 500 countries, using python-api and matplotlib
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.
This is Loan Robinson Github Page, which includes all tutorials for education purpose.
This repository contains code for curating data and testing hypotheses relating to the College-to-Work Transition study.
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.
Reproducibility materials for "Cross-Screening in Observational Studies that Test Many Hypotheses" by Qingyuan Zhao, Dylan S. Small & Paul R. Rosenbaum
Problem Set 1 from STA304 Surveys, Sampling and Observational Data [Data used in the analysis was obtained from the Toronto Open Data Portal (https://open.toronto.ca/)]
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