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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://player.fm/legal.
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R-Tool For Bayesian Statistics in Early Phase

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Manage episode 427175229 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://player.fm/legal.
Interview with Audrey Yeo

Key points:

  • Bayesian Framework
  • PSI Conference with Audrey
  • Early-Phase Trials on binary endpoints for decision-making.
  • Commitment to open-source development and collaboration.
  • Clinical Decision Process
  • Binary Endpoints
  • Oncology Focus
  • User Experience
  • Collaboration
  • Efficiency Gain
  • Software Engineering
  • User Feedback
  • Community Involvement

As we wrap up, it's clear that better decision-making in early-phase clinical trials is not just a necessity but a transformative step for the industry. Audrey’s innovative R package, grounded in a Bayesian framework, exemplifies how advanced statistical tools can drive efficiency and accuracy.

Don't miss out on this deep dive into cutting-edge statistical software. Listen to the full episode to learn more, and be sure to share it with your colleagues who are passionate about improving clinical trial methodologies. Together, we can drive the future of effective statistics.

  continue reading

384 episodes

Artwork
iconShare
 
Manage episode 427175229 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://player.fm/legal.
Interview with Audrey Yeo

Key points:

  • Bayesian Framework
  • PSI Conference with Audrey
  • Early-Phase Trials on binary endpoints for decision-making.
  • Commitment to open-source development and collaboration.
  • Clinical Decision Process
  • Binary Endpoints
  • Oncology Focus
  • User Experience
  • Collaboration
  • Efficiency Gain
  • Software Engineering
  • User Feedback
  • Community Involvement

As we wrap up, it's clear that better decision-making in early-phase clinical trials is not just a necessity but a transformative step for the industry. Audrey’s innovative R package, grounded in a Bayesian framework, exemplifies how advanced statistical tools can drive efficiency and accuracy.

Don't miss out on this deep dive into cutting-edge statistical software. Listen to the full episode to learn more, and be sure to share it with your colleagues who are passionate about improving clinical trial methodologies. Together, we can drive the future of effective statistics.

  continue reading

384 episodes

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