Prediction Models for Individualized Treatment Effects of Oxygen Targets

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Prediction Models for Individualized Treatment Effects of Oxygen Targets—Reply

Published:2024-09-03 Issue:9 Volume:332 Page:758
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Buell Kevin G.¹,Semler Matthew W.²,Churpek Matthew M.³

Affiliation:

1. Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Chicago, Chicago, Illinois

2. Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee

3. Division of Allergy, Pulmonary and Critical Care, Department of Medicine, University of Wisconsin–Madison, Madison

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2821832/jama_buell_2024_lr_240052_1724442770.05561.pdf

Reference6 articles.

1. Individualized treatment effects of oxygen targets in mechanically ventilated critically ill adults.;Buell;JAMA,2024

2. Causal bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia.;Blette;Sci Rep,2023

3. A machine-learning approach for estimating subgroup- and individual-level treatment effects: an illustration using the 65 trial.;Sadique;Med Decis Making,2022

4. Conditional treatment effect analysis of two infusion rates for fluid challenges in critically ill patients: a secondary analysis of Balanced Solution Versus Saline in Intensive Care Study (BaSICS) trial.;Zampieri;Ann Am Thorac Soc,2023

5. Oxygen-saturation targets for adults receiving mechanical ventilation.;Semler;N Engl J Med,2023

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