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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://podcastplayer.com/legal.
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Top 5: The analysis of adverse events done right

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Manage episode 502556899 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://podcastplayer.com/legal.
Interview with Kaspar Rufibach & Jan Beyersmann

What You’ll Learn:

✔ Why analyzing adverse events differently from efficacy endpoints creates problems.

✔ How differing follow-up times and censoring bias AE results.

✔ The role of the Aalen–Johansen estimator and why it should be standard practice.

✔ What the SAVVY collaboration achieved by uniting pharma, academia, and regulators.

✔ Real-world examples of how safety analyses can dramatically change the interpretation of treatment risk.

✔ Lessons on collaboration, methodology, and change management in the pharma industry.

Why You Should Listen:

Adverse events are a critical part of any trial, yet they’re often analyzed using simplistic methods that can mislead decision-makers. This episode will help you:

Gain insights you can apply immediately to your own projects to improve the accuracy and credibility of your analyses.

Understand the hidden biases in traditional AE analysis.

Learn how to align safety and efficacy assessments for a fairer benefit–risk evaluation.

Discover the power of collaboration between pharma, academia, and regulators through the SAVVY project.

Links:

🔗 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

463 episodes

Artwork
iconShare
 
Manage episode 502556899 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://podcastplayer.com/legal.
Interview with Kaspar Rufibach & Jan Beyersmann

What You’ll Learn:

✔ Why analyzing adverse events differently from efficacy endpoints creates problems.

✔ How differing follow-up times and censoring bias AE results.

✔ The role of the Aalen–Johansen estimator and why it should be standard practice.

✔ What the SAVVY collaboration achieved by uniting pharma, academia, and regulators.

✔ Real-world examples of how safety analyses can dramatically change the interpretation of treatment risk.

✔ Lessons on collaboration, methodology, and change management in the pharma industry.

Why You Should Listen:

Adverse events are a critical part of any trial, yet they’re often analyzed using simplistic methods that can mislead decision-makers. This episode will help you:

Gain insights you can apply immediately to your own projects to improve the accuracy and credibility of your analyses.

Understand the hidden biases in traditional AE analysis.

Learn how to align safety and efficacy assessments for a fairer benefit–risk evaluation.

Discover the power of collaboration between pharma, academia, and regulators through the SAVVY project.

Links:

🔗 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

463 episodes

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