Description
"Over the past few years our NEST suite of packages for clinical reporting has advanced greatly to facilitate analytical insights generation and enable quicker filing. Our TLG packages in particular, have vastly improved our capability to produce tables, listings and graphs efficiently, using R. Our aim for this workshop is to guide users through a series of exercises using {tern} and {rtables} for TLG reporting.
We will showcase our extensive TLG-Catalog and demonstrate the ease at which users can pick up code from the Catalog and use directly for their clinical reporting. We will show you examples of how to customize and build your own tables from scratch.
Our goal for this workshop is to enable our participants to build confidence using our suite of packages and use them effectively for their next reporting event. Please visit https://github.com/insightsengineering to discover more."
Bio:
Davide Garolini, a Statistical Engineer, holds an M.Phys. in Biophysics and a Ph.D. in Computational Neuroscience. With over 8 years of expertise in R programming and software development, he focuses on clinical data analysis and regulatory submissions.
Davide plays a pivotal role in enhancing tools like {rtables} and {tern}, critical for clinical data analysis and regulatory compliance in the NEST project. He passionately advocates for collaboration within the open-source community, driving collective progress in advancing clinical research.
Emily de la Rua (Roche)
Emily de la Rua is a Data Scientist at Roche where she has been developing R packages within the NEST project for over two years, making significant contributions to the TLG Catalog and clinical data analysis packages like {rtables} and {tern}. She is an avid supporter of cross-company collaboration and open-sourcing in the industry, and leads development efforts in the {falcon} project. Emily holds a Bachelor's degree in Statistics and a Master's degree in Data Science.
Jessica Knizia (Boehringer-Ingelheim)
