Bayesian methods: a potential path forward for sepsis trials.

George A TomlinsonAli Al-KhafajiSteven A Conrad Faith N F FactoraDebra M FosterClaude GalphinKyle J GunnersonSobia KhanRoopa Kohli-SethPaul McCarthyNikhil K MeenaRonald G PearlJean-Sebastien RachoinRonald RainsMichael SeneffMark TidswellPaul M WalkerJohn A Kellum

Published in: Critical care (London, England) (2023)

Using Bayesian methods and a biologically justifiable use of historical data in a prior distribution yields a study design with higher power than a conventional design that ignores relevant historical data. Bayesian methods may be a viable option for trials in critical care medicine where beneficial treatments have been elusive.

Keyphrases

electronic health record
big data
intensive care unit
acute kidney injury
machine learning
septic shock
data analysis
artificial intelligence
risk assessment