Pharma

Accelerating Study Insights with Shiny and Posit | Regeneron x Atorus

In this session, Atorus and Regeneron, and Posit showcase their innovative partnership.

Topics covered: -Building a Unified Analytical Environment: Learn how to reduce friction by integrating fragmented SAS and R workflows. -Case Study: A Config-Driven App: See a live demo of how a simple configuration file can build a fully functional application for data review and safety monitoring. -Operational Shifts: Understand how internal teams are empowered to independently manage and extend their own applications in a regulated environment.

This isn’t just about technology—it’s about the strategic shift required to simplify development and accelerate insights within a regulated environment.

Pharma Open-Source Packages and the R Validation Hub | A conversation with Aaron Clark

Posit’s Director of Life Sciences, Phil Bowsher, sat down with Aaron Clark, Senior Principal Clinical Scientist at Arcus Biosciences, to discuss various topics within the open-source clinical reporting space including Aaron’s career in pharma, the R Validation Hub, the open-source package riskmetric, and more.

Open Source in Clinical Reporting | A Conversation with Ben Arancibia at GSK

Posit’s Director of Life Sciences, Phil Bowsher, sat down with GSK’s Director of Data Science, Ben Arancibia, to discuss various topics within the open-source clinical reporting space.

Sean Lopp | Posit Investments in Pharma | Posit

From rstudio::global(2021) Pharma X-Sessions, sponsored by ProCogia: R/Pharma is an organization of R enthusiasts who work in the pharma and biotech industries. This presentation summarizes the group and presents some goals for 2021.

More about Sean Lopp: Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.

Marly Gotti | Risk Assessment Tools: R Validation Hub Initiatives | Posit

From rstudio::global(2021) Pharma X-Sessions, sponsored by ProCogia: we will present some of the resources and tools the R Validation Hub has been working on to aid the biopharmaceutical industry in the process of using R in a regulatory setting. In the talk, you will learn about the {riskmetric} R package, which measures the risk of using R packages, and you will also see a demo of the Risk Assessment Shiny application, which is an advanced user interface for {riskmetric}.

About Marly Gotti: Marly Gotti is a Senior Data Scientist at Biogen and a former RStudio intern. She is also an executive committee member of the R Validation Hub, where she advocates for the use of R within a biopharmaceutical regulatory setting.

Harvey Lieberman | R/Pharma | Posit

From rstudio::global(2021) Pharma X-Sessions, sponsored by ProCogia: R/Pharma is an organization of R enthusiasts who work in the pharma and biotech industries. This presentation summarizes the group and presents some goals for 2021.

About Harvey Lieberman: Harvey Lieberman works at Novartis and has been a member of R/Pharma since 2017.

Mike Garcia | R in Pharma: Intro to Shiny | Posit

Volha Tryputsen | R in Janssen Drug Discovery Statistics | Posit

From rstudio::global(2021) Pharma X-Sessions, sponsored by ProCogia: this talk discusses how R is utilized in the Janssen drug discovery statistics workflow.

About Volha: Volha is the Principal Statistician in the Translational Medicine and Early Development Statistics (TMEDS) group in the Quantitative Sciences Department of Janssen R&D.

Roche & Novartis: Effective Visualizations for Data Driven Decisions || Posit (2020)

Effective visual communication is a core task for all data scientists including statisticians, epidemiologists, machine learning experts, bioinformaticians, etc.

By using the right graphical principles, we can better understand data, highlight core insights and influence decisions toward appropriate actions. Without it, we can fool ourselves and others and pave the way to wrong conclusions and actions. While numerous solutions exist to analyze data, these often require many manual steps to convert them into visually convincing and meaningful reports. How do we put this in practice in an accurate, transparent and reproducible way?

In this webinar we will introduce an open collaborative effort, currently undertaken by Roche and Novartis, to develop solutions for effective visual communication with a focus on reporting medical and clinical data. The aim of the collaboration is to develop a user-friendly, fit for purpose, open source package to simplify the use of good graphical principles for effective visual communication of typical analyses of interventional and observational data encountered in clinical drug development. We will introduce the initial visR package design which easily integrates into a typical tidyverse workflow. The package provides guidance and meaningful default parameters covering all aspects from the design, implementation and review of statistical graphics.