Prediction Models for Individualized Treatment Effects of Oxygen Targets
Author:
Affiliation:
1. National Cancer Center, Peking Union Medical College, Beijing, China
Publisher
American Medical Association (AMA)
Link
https://jamanetwork.com/journals/jama/articlepdf/2821833/jama_tu_2024_le_240086_1724442771.62928.pdf
Reference5 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. Implications of heterogeneity of treatment effect for reporting and analysis of randomized trials in critical care.;Iwashyna;Am J Respir Crit Care Med,2015
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