Using Likelihood Ratios to Aid the Interpretation of Nonsignificant Results in Sepsis-Related Randomized Controlled Trials

Journal article

Open access

Peer reviewed

Herie Sun, Hayley B Gershengorn, Aaron M Mittel and May Hua

Annals of the American Thoracic Society, Vol.23(2)

2026-01-23

PMID: 41759070

Abstract

sepsis

statistics

likelihood functions

randomized controlled trials as topic

critical care

url

https://doi.org/10.1093/annalsats/aaoaf036View

Published (Version of record) Open

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Title: Using Likelihood Ratios to Aid the Interpretation of Nonsignificant Results in Sepsis-Related Randomized Controlled Trials
Creators: Herie Sun - Columbia University Irving Medical Center
Hayley B Gershengorn
Aaron M Mittel
May Hua - New York University
Publication Details: Annals of the American Thoracic Society, Vol.23(2)
Publisher: OXFORD UNIV PRESS; OXFORD
Number of pages: 5
Grant note: University of Miami Hospital & Clinics Data Analytics Research Team
H.B.G. receives funding from the University of Miami Hospital & Clinics Data Analytics Research Team (UHealth-DART). For the remaining authors, none were declared.
Academic Unit: Miller School of Medicine; UMMG Dept of Medicine - Pulmonary, Critical Care & Sleep Medicine
Language: English
Resource Type: Journal article
PMID: 41759070
Record Identifier: 991032985561002976