Novartis

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 …

Shiny apps for accelerating early drug discovery research

Scientists in drug discovery research utilize a wide variety of instrumentation and techniques to advance their research. While instrumentation vendors often provide software tools to deal with data wrangling and visualization, a simple collection of …

An R package for Data Science and Deep Visualization of a complex clinical database

We define and illustrate a "deep visualization" paradigm for the analysis of a relatively large and complex clinical database for psoriasis (PSO) and psoriatic arthritis (PsA). This paradigm supports a growing number of machine learning and …

Exploratory Graphics (xGx): Promoting the purposeful exploration of PKPD data

Introduction As pharmacometricians, we sometimes jump into complex modeling before thoroughly exploring our data. This can happen due to tight timelines, lack of ready-to-use graphic tools or enthusiasm for complex models. Exploratory plots can help …

nlmixr: an R package for population PKPD modeling

nlmixr is a free and open source R package for fitting nonlinear pharmacokinetic (PK), pharmacodynamic (PD), joint PK/PD and quantitative systems pharmacology (QSP) mixed-effects models. Currently, nlmixr is capable of fitting both traditional …

ShinyRAP - a framework for analysis and building interactive/dynamic reports using Shiny/Markdown

R has become a prominent data science tool, empowered by a fast-growing modern R eco-system. At Novartis, Shiny and markdown have gained a lot of popularity in analyzing, visualizing and reporting of clinical trial data. Traditional report analysis …