The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

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

Download it: MP3 | AAC | OGG | OPUS

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:
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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

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