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Code for: Murray EJ, Robins JM, George R. Seage III, Freedberg KA, Hernan MA. A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference. American Journal of Epidemiology. 2017;186(2):131-42.
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
Adaptive optimal two-stage designs for clinical trials made easy.
Shiny apps for teaching and learning statistics
🤹 Shiny tips & tricks for improving your apps and solving common problems
A + B Design Investigator for phase I dose-escalation studies
R package to accompany "Applied Statistics using R"
Design, Monitoring and Analysis of Bayesian Basket Discovery Trials
Generate statistical plan for Bayesian pick-the-winner design in a randomized phase II clinical trial
Bayesian adaptive designs for phase II trials with binary endpoint.
Bayesian Thinking in Biostatistics datasets and code
Code for the tutorial on adding actionnable button in datatable in Shiny
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Causal Inference in R Workshop
R code for causal graph animations
A student activity for introductory statistics courses using causal inference methods.
a series of R programs to accompany the book Cause and correlation in biology
Causal Inference: What If. R and Stata code for Exercises
Simulation of Cohort Platform Trials for Combination Treatments
SAS macros to implement Diangostic for confounding time-varying and other joint exposures
Code answers, references for a real-time covid 19 dashboard tutorial series in R
Conditional Power and Promising Zone
Introduction to Causal Inference in Epidemilogy a Crash Course in Spanish
Source code for the crAssphage project
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.