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Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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R-Tool For Bayesian Statistics in Early Phase

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Manage episode 427175229 series 2400265
Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

403 episoder

Artwork
iconDel
 
Manage episode 427175229 series 2400265
Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

403 episoder

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