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.
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Early Development and The Dose Selection in the Immune-oncology

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Manage episode 455900699 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 Teppo Huttunen

Key points:

  • Dose Selection Challenge
  • Limitations of 3+3 Design
  • BOIN Design
  • Backfilling
  • Efficacy vs. Safety
  • Statisticians’ Role
  • Practical Challenges
  • FDA Guidance
  • Cross-Functional Approach
  • Industry Trends
  • Cost & Timeline Estimation

Understanding dose selection in immune-oncology is crucial for developing safer and more effective treatments, and statisticians play a central role in driving these decisions.

In this episode, Teppo shares practical insights into overcoming the limitations of traditional methods and adopting more flexible approaches like the BOIN design.

If you want to stay ahead in oncology research and learn how to balance safety, efficacy, and practical challenges in dose optimization, this episode is a must-listen!

  continue reading

444 episodes

iconShare
 
Manage episode 455900699 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 Teppo Huttunen

Key points:

  • Dose Selection Challenge
  • Limitations of 3+3 Design
  • BOIN Design
  • Backfilling
  • Efficacy vs. Safety
  • Statisticians’ Role
  • Practical Challenges
  • FDA Guidance
  • Cross-Functional Approach
  • Industry Trends
  • Cost & Timeline Estimation

Understanding dose selection in immune-oncology is crucial for developing safer and more effective treatments, and statisticians play a central role in driving these decisions.

In this episode, Teppo shares practical insights into overcoming the limitations of traditional methods and adopting more flexible approaches like the BOIN design.

If you want to stay ahead in oncology research and learn how to balance safety, efficacy, and practical challenges in dose optimization, this episode is a must-listen!

  continue reading

444 episodes

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