Novartis

Building Shiny Frameworks: Some Lessons

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 …

Outstanding User Interfaces with Shiny

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 …

Democratizing Shiny App Development: The Novartis DataPipeline Harmonized Framework

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 …

Unleash your Shiny apps with JavaScript

Subgroup Benchmarking Framework

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 …

The See Value App: Visual Decision Making for Drug Development

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 …

Would John, Paul, George or Ringo have been famous if it were not for The Beatles

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 …

With great graphs comes great power

Effective visual communication is a core competency for pharmacometricians, statisticians, and, more generally, any quantitative scientist. It is essential in every step of a quantitative workflow, from scoping to execution and communicating results …

metashiny: build Shiny apps with a Shiny app

metashiny is an R package that provides a point-and-click interface to quickly design, prototype, and deploy essential Shiny applications without having to write one single line of R code. The core idea behind metashiny is to parametrize Shiny …

Unleash Shiny

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 …