Resources

The main purpose of this page is to provide some useful resources.

Statistics:

Missing Data

• Flexible Imputation of Missing Data, Stef van Buuren

Bayes

• Bayesian Data Analysis, Andrew Gelman et al.

Clinical Trial Designs

• Dose Finding
  • Model-assisted Design
  • Model-based designs

Programming:

R

• R for Data Science, Hadley Wickman
• Advanced R, Hadley Wickman
• ggplot2 - Elegant Graphics for Data Science, Hadley Wickman
• bookdown: Authoring Books and Technical Documents with R Markdown, Yihui Xie
• Tidy Modeling with R

R Shiny

• Mastering Shiny, Hadley Wickham
• Engineering Production-Grade Shiny Apps, Colin Fay, et al.
• The Shiny AWS Book
• Outstanding User Interfaces with Shiny
• WDI Singapore

Publishing

• R Markdown: The Definitive Guide, Yihui Xie
• Quarto Guide

SAS

• Free SAS Books

Blogs

• Yihui Xie
• Xiangyun Huang
• Chunqin Deng

Books

• Bayesian Modeling of Time Response and Dose Response for Predictive Interim Analysis of a Clinical Trial
• Data Monitoring Committees in Clinical Trials: A Practical Perspective
• Bayesian Designs for Phase I-II Clinical Trials
• Model-Assisted Bayesian Designs for Doese Finding and Optimization: Methods and Applications