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Definition of Done (DoD) Checklist for Pharma Teams
Shiny Dashboard Templates
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Building Clinical Data
Analysis Apps with {teal}
In this session, you will learn how to use the {teal} R package to create powerful Shiny applications for clinical data analysis. We'll explore the {teal} framework, which simplifies building modular and dynamic dashboards using pre-built {teal} modules. We’ll also cover how to create custom modules to better suit your analysis needs.
By the end of the session, you'll have a basic understanding of {teal}'s features and be equipped to build your own clinical data analysis apps, using both pre-built modules and custom components.
Watch Previous Shiny Gatherings Recordings
Getting the most out of your shiny apps: Leveraging web technologies in Shiny
How to build Shiny testing architecture?
Best practices for coding Shiny apps with Rhino Team
Unlocking Performance and Responsiveness: Async Programming in Shiny
So, You Want to Become an R Shiny Developer? Shiny Gathering Live from Appsilon Retreat
Shining Bright: A Recap of R Shiny Insights from posit::conf 2023
Clinical submissions with admiral: an R-based ADaM solution with Ben Straub
Open Source Spotlight: Tapyr - Shiny for Python Framework
Open Source Spotlight: New developments in Rhino
Open Source Spotlight: Navigating shiny.telemetry for User Tracking in Shiny Apps
Innovating Pharma Software: A Conversation with Paweł Rucki on Teal, Open Source Challenges and more
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