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Advanced Analytics: Bayesian Adaptive Clinical Trials

A comprehensive overview of Bayesian adaptive frameworks to enable better trial interpretation and implementation.

Webcast

Advanced Analytics: Bayesian Adaptive Clinical Trials

September 19, 2024

1:00 p.m. – 2:00 p.m. Central Time

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Are you seeking to understand Bayesian adaptive trial designs and their implications for clinical practice? In this webcast, experts will provide a comprehensive overview of Bayesian adaptive frameworks to enable better trial interpretation and implementation.
 
As the evidence base continues to evolve, many landmark trials are being reanalyzed using Bayesian methods. Practitioners may find it challenging to interpret these findings and incorporate them into clinical decision-making, which can lead to reliance on outdated practices and hinder the adoption of new, potentially beneficial evidence-based interventions. Ensure that you are knowledgeable to provide the best patient care.

Thursday, September 19, 2024
1:00 p.m. – 2:00 p.m. Central Time


Reserve Your Spot
 

Can't make the live event? Register anyway and receive a link to the recording.

Learning objectives: 

  • Discuss the basics of Bayesian adaptive frameworks
  • Interpret reanalysis of landmark trials using Bayesian methods
  • Implement Bayesian adaptive designs in clinical practice

This webcast is provided through SCCM’s Clinical Pharmacy and Pharmacology Section and Discovery, the Critical Care Research Network.

Kert Viele, PhD
Subject Matter Expert
Kert Viele, PhD

Director of Research
Berry Consultants
Austin, Texas, USA

Paul Juang, PharmD, BCCCP, BCPS, FCCM
Moderator
Paul Juang, PharmD, BCCCP, BCPS, FCCM

Professor of Pharmacy Practice
St. Louis College of Pharmacy
St. Louis, Missouri, USA

 
Select and Professional
$0
Associate
$40
Nonmembers
$45

Continue learning—and earning ACE—after the webcast with a new SCCM Podcast episode!

Take away even more knowledge about the Hour-1 Bundle. This new episode will release May 17, 2023, at 2:00 p.m. Central Time. Earn an additional 0.25 hours of ACE credit.
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