R-shiny - how to set it up effectively and avoid common mistakes

The Effective Statistician - in association with PSI

Interview with Daniel Sabanés Bové

What You’ll Learn in This Episode:

✔ Why interactive visualizations are such a game changer

✔ How R-Shiny makes scenario planning and data exploration easier

✔ What to consider before you even start coding

✔ Common mistakes to avoid with larger Shiny apps

✔ How to structure your code for long-term success and maintainability

✔ Tips to improve usability and ensure better stakeholder engagement

**We also discuss**:

✔ The TEAL framework by Roche for clinical trial analysis

✔ How to use AI to quickly generate Shiny prototypes

✔ Tools like shinytest2 and the Shiny UI Editor

✔ Why designing for your user’s workflow is critical

✔ When it’s time to call in an expert for help

Resources & Links

👉 Shiny Apps:

• teal framework
• Lessons for Shiny Apps Tutorial
• Shiny Assistant
• Shiny UI Editor
• Tours of Shiny apps
• RPACT Cloud

🔗 Rconis

🔗 The Effective Statistician Academy – I offer free and premium resources to help you become a more effective statistician.

🔗 Medical Data Leaders Community – Join my network of statisticians and data leaders to enhance your influencing skills.

🔗 My New Book: How to Be an Effective Statistician - Volume 1 – It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.

🔗 PSI (Statistical Community in Healthcare) – Access webinars, training, and networking opportunities.

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