Two-part model for ventilator-free days in a cluster randomized cross-over clinical trial

The proposed two-part model provides a more comprehensive assessment of intervention effects on ventilator-free days in critical care trials. Researchers and clinicians can obtain greater insights with this approach about the direction and magnitude of the intervention effects on mortality, ROSC, and duration of mechanical ventilation.

Authors

Institutions

Publication Details

Journal
BMC Medical Research Methodology
Published
2025-08-26
DOI
https://doi.org/10.1186/s12874-025-02653-8
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-part model for ventilator-free days in a cluster randomized cross-over clinical trial

Henry E. Wang, Ari Moskowitz, Michelle N. Gong, Yungtai Lo et al.
BMC Medical Research Methodology
Sepsis Diagnosis and Treatment
article

Two-part model for ventilator-free days in a cluster randomized cross-over clinical trial

Henry E. Wang, Ari Moskowitz, Michelle N. Gong, Yungtai Lo, Mimi Kim, Xianhong Xie
article en

Abstract

The proposed two-part model provides a more comprehensive assessment of intervention effects on ventilator-free days in critical care trials. Researchers and clinicians can obtain greater insights with this approach about the direction and magnitude of the intervention effects on mortality, ROSC, and duration of mechanical ventilation.

BMC Medical Research MethodologyVol. 25(1)
Albert Einstein College of Medicine (US), Montefiore Medical Center (US), The Ohio State University (US)
National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences
Openalex Percentile: Top 69%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.