SCCM Resource Library-The Promise of Bayesian Critical Care Trials: Hype or Hope?

Video Transcription

Video Summary

The webcast discussed the use of Bayesian analysis in critical care trials. The speaker explained that Bayesian thinking offers a probabilistic interpretation of intervention effects, allowing for a more nuanced understanding of the data. The speaker introduced the concept of prior distribution, which represents a best guess about the effect estimate before the trial and is combined with the likelihood of the new trial data to create a posterior distribution. This posterior distribution is a more up-to-date and comprehensive representation of the evidence. The speaker emphasized the advantages of Bayesian thinking, such as the ability to answer multiple questions simultaneously, including the assessment of equivalence and the evaluation of different effect sizes. The speaker also discussed the limitations and challenges of Bayesian analysis, such as the need for careful selection of priors and the complexity of sample size calculations. Overall, the webcast highlighted the potential benefits of Bayesian analysis in critical care trials, particularly in the context of historically unsuccessful trials and the need for more effective therapies in critical care.

Asset Subtitle

Research, 2023

Asset Caption

Bayesian critical care trials are becoming increasingly popular because of their adaptive and flexible qualities. Michael O. Harhay, MPH, MS, PhD, cochair of the Society of Critical Care Medicine’s Discovery Research Methodology Workgroup, reviews the latest information on Bayesian trials and how best to implement this trial method during this webcast.

Meta Tag

Content Type Webcast

Knowledge Area Research

Membership Level Select

Membership Level Professional

Tag Clinical Research Design

Year 2023

Keywords

Bayesian analysis

critical care trials

probabilistic interpretation

prior distribution

posterior distribution

equivalence assessment

effect sizes evaluation

limitations of Bayesian analysis

sample size calculations

	Society of Critical Care Medicine 500 Midway Drive Mount Prospect, IL 60056 USA Phone: +1 847 827-6888 Fax: +1 847 439-7226 Email: support@sccm.org	Contact Us About SCCM Newsroom Advertising & Sponsorship DONATE	MySCCM LearnICU Patients & Families Surviving Sepsis Campaign Critical Care Societies Collaborative	GET OUR NEWSLETTER
© Society of Critical Care Medicine. All rights reserved. \| Privacy Statement \| Terms & Conditions The Society of Critical Care Medicine, SCCM, and Critical Care Congress are registered trademarks of the Society of Critical Care Medicine.