Open AccessExtracorporeal Membrane Oxygenation for Severe Acute Respiratory Distress Syndrome and Posterior Probability of Mortality Benefit in a Post Hoc Bayesian Analysis of a Randomized Clinical Trial
Author(s) -
Ewan C. Goligher,
George Tomlinson,
David Hajage,
Duminda N. Wijeysundera,
Eddy Fan,
Peter Jüni,
Daniel Brodie,
Arthur S. Slutsky,
Alain Combes
Publication year - 2018
Publication title -
jama
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.688
H-Index - 680
eISSN - 1538-3598
pISSN - 0098-7484
DOI - 10.1001/jama.2018.14276
Subject(s) - medicine , post hoc analysis , extracorporeal membrane oxygenation , randomized controlled trial , acute respiratory distress , post hoc , bayesian probability , intensive care medicine , respiratory distress , clinical trial , anesthesia , lung , artificial intelligence , computer science
Bayesian analysis of clinical trial data may provide useful information to aid in study interpretation, especially when trial evidence suggests that the benefits of an intervention are uncertain, such as in a trial that evaluated early extracorporeal membrane oxygenation (ECMO) for severe acute respiratory distress syndrome (ARDS).
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