Workshop: R for Drug Development
RStudio and Novartis will be presenting a free workshop providing an overview of the Tidyverse, Shiny and R Markdown for the R user community at PAGE 2019. This is a great opportunity to learn and get inspired about new capabilities for creating compelling analyses with applications in drug development. No prior knowledge of R, RStudio or Shiny is needed. This short course will provide a hands-on introduction to flexible and powerful tools for statistical analysis, reproducible research and interactive visualizations. The hands-on course will include an overview of the Tidyverse for clinical data wrangling, how to build Shiny apps and R Markdown documents, as well as visualizations using HTML Widgets for R. Immunogenicity assessments and other drug development examples, will be reviewed and generated for each topic.
For the workshop attendees, we will be providing a free RStudio training instance. A training server is created for users to use live during the session and nothing is required to install prior to the workshop.
Workshop Time: Monday, June 10th, 2019, 8:00 AM – 12:00 PM.
Workshop Location: The workshop will be near PAGE 2019 in Stockholm, Sweden. PAGE 2019 will be held at the Stockholm Waterfront Congress Centre (2 minutes walk from Stockholm Central train station, 20 minutes by train from Stockholm (Arlanda) airport).
Stockholm Waterfront Congress Centre
Nils Ericsons Plan 4, Stockholm
Materials Provided: Course slides, data, and code for all examples, online access to a cloud-based compute server on which the software used in the course is installed
Workshop Fee: This half day course is free however there are only 25 seats available – first come first served.
Registration: This is a pre-meeting workshop that requires registering for the PAGE 2019 meeting. Please register ASAP in view of the limited course capacity.
PAGE Workshop Registration
Below is information about the topics to be covered:
nlmixr is an R package for fitting general dynamic models, pharmacokinetic (PK) models and pharmacokinetic-pharmacodynamic (PKPD) models in particular, with either individual data or population data (nlmixr will be highlighted in various output types). The nlme and SAEM estimation routines can be accessed using a universal user interface (UUI), that provides universal model and parameter definition syntax and results in a fit object that can be used as input into the Xpose package.
The Tidyverse is a coherent system of packages for data manipulation, exploration and visualization that share a common design philosophy. The workshop will provide an introduction to clinical data wrangling with R that includes an overview of the packages dplyr, magrittr, tidyr, and ggplot2. Workshop examples will focus on applications in drug development to help maximize productivity for the main stages of the clinical workflow.
R Markdown is an authoring format that enables easy creation of dynamic documents, presentations, and reports from R. R Markdown documents help to support reproducible research and can be automatically regenerated whenever underlying R code or data changes. R Notebooks, as well as various types of R Markdown output, will be covered, including blogdown and bookdown.