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Name: David McCoy
Type: User
Name: David McCoy
Type: User
This repository aims to organize all the materials and teaching resources for PH243A, Advanced Topics in Causal Inference
A machine learning pipeline to cluster and find rules for molecular feature data from Tox21 to understand and predict binding chemicals
Repository of data, analyses and results for the paper "Interacting Risk Factors Related to Environmental Racism on COVID-19 Transmission and Mortality across U.S. Counties"
What the Package Does (One Line, Title Case)
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Maximal Effect Modification Identification and Estimation using Data-Adaptive Stochastic Interventions
This package houses the software that identifies interactions through an SL g-computation framework that compares the joint shift of two exposures to the sum of individual shifts. These interactions are ranked by synergy and antagonism and CV-TMLE is used to estimate the interaction parameter.
This package finds, in a mixed exposure, the most efficient intervention that gets to a target outcome level. This parameter is similar to synergy in isobolic curve analysis in toxicology but geared towards shift intervention on a population. It then estimates this interaction using targeted learning.
Compare the joint shift of a mixed exposure to the sum of individual shifts
Scripts to extract data from COVID-19 Community Mobility Reports
Peer review of COVID-19 epidemics monitored through the logorithmic growth rate and SIR model
R Package: Parallel Distance Matrix Computation using Multiple Threads
:dizzy: :dart: Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.
Variable importance through targeted causal inference, with Alan Hubbard
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.