Finding the right dose is a critical step in pharmaceutical drug development. There has been varies statistical methodology development for the design and analysis of clinical studies. In particular, MCP-Mod (Multiple Comparisons Procedure - …
It is relatively simple to create a powerful visualization app using shiny, but what if you need to change your data wrangling process or wish to build a different output? How easy is it to provide this flexibility without having to rewrite the …
In recent years, R users' understanding of Shiny has greatly increased but so have client expectations. While one of Shiny’s greatest strengths is that it allows producing web applications solely from R code, meeting client’s more delicate …
Motivated by the rapid rise in clinical data exploration, there is an increasing need to utilize interactive graphical displays using Shiny apps. To date, the development and deployment of study apps have required specialized knowledge and …
Identification of subgroups with increased or decreased treatment effect is a challenging topic with several traps and pitfalls. In this project, we would like to establish good practices for subgroup identification, by building a simulation platform …
Statistical graphics play an important role in exploratory data analysis, model checking and diagnostics. The lineup protocol (Buja et. al 2009) enables statistical significance testing using visualizations, bridging the gap between exploratory and …
The Beatles rose to music fame in the 1960's and became a worldwide phenomenon. With millions of screaming fans and selling over 600 million records, they are often cited as one of the most influential rock bands in history. One reason for their fame …