Artwork

Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

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

26:34
 
Share
 

Manage episode 474499298 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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:

🔗 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.

Join the Conversation:
Did you find this episode helpful? Share it with your colleagues and let me know your thoughts! Connect with me on LinkedIn and be part of the discussion.

Subscribe & Stay Updated:
Never miss an episode! Subscribe to The Effective Statistician on your favorite podcast platform and continue growing your influence as a statistician.

  continue reading

444 episodes

Artwork
iconShare
 
Manage episode 474499298 series 2400265
Content provided by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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:

🔗 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.

Join the Conversation:
Did you find this episode helpful? Share it with your colleagues and let me know your thoughts! Connect with me on LinkedIn and be part of the discussion.

Subscribe & Stay Updated:
Never miss an episode! Subscribe to The Effective Statistician on your favorite podcast platform and continue growing your influence as a statistician.

  continue reading

444 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play