wxwx1993 Goto Github PK
Name: Xiao Wu
Type: User
Company: Columbia University
Twitter: wu_xiao1993
Location: New York
Blog: https://xiaowu.io
Name: Xiao Wu
Type: User
Company: Columbia University
Twitter: wu_xiao1993
Location: New York
Blog: https://xiaowu.io
π― :school_satchel: Materials for a full-day workshop on Targeted Learning with the tlverse at the 2019 Atlantic Causal Inference Conference
R package for "Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs." A innovative Bayesian adaptive commensurate designs that borrows adaptively from historical information and also uses a payoff function to optimize the timing of the studyβs interim analysis.
Causal Inference with a Continuous Error-Prone Exposure
A practical guideline on the use of CausalGPS on Medicare data with individual-level strata
Introduction to time series modeling for syndromic surveillance
Covariate Balance Tables and Plots - An R package for assessing covariate balance
The Leek group guide to data sharing
Plotting Assignment 1 for Exploratory Data Analysis
R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposures, and a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.
R tools to process reanalysis gridded data
This is the data repository for reproducible code to conduct HEI harmonized analysis
LinCDE: Conditional Density Estimation via Lindsey's Method
Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."
Risk of Mortality Associated with Fine Particulate Matter Exposure
Public Available Code and Data to Reproduce Analyses in "Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis."
Python interface for igraph
R language
Code for "Causal inference in the context of an error prone exposure: Air pollution and mortality". A new approach for estimating causal effects when the exposure is measured with error.
igraph R package
An R package for performing STAAR procedure in whole genome sequencing studies
Public Available Code and Data to Reproduce Analyses in "Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.