Using Effect Scores to Characterize Heterogeneity of Treatment Effects-Reference-Cited by-同舟云学术

Using Effect Scores to Characterize Heterogeneity of Treatment Effects

Published:2024-04-09 Issue:14 Volume:331 Page:1225
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Wang Guanbo¹,Heagerty Patrick J.²³,Dahabreh Issa J.¹³⁴

Affiliation:

1. CAUSALab, Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts

2. Department of Biostatistics, University of Washington, Seattle

3. Statistical Editor, JAMA

4. Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts

Abstract

This JAMA Guide to Statistics and Methods article explains effect score analyses, an approach for evaluating the heterogeneity of treatment effects, and examines its use in a study of oxygen-saturation targets in critically ill patients.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2816678/jama_wang_2024_gm_240001_1712266613.98552.pdf

Reference10 articles.

1. Heterogeneity of treatment effect.;Angus;JAMA,2021

2. Using group data to treat individuals.;Dahabreh;Int J Epidemiol,2016

3. Toward personalizing care: assessing heterogeneity of treatment effects in randomized trials.;Dahabreh;JAMA,2023

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

5. Metalearners for estimating heterogeneous treatment effects using machine learning.;Künzel;Proc Natl Acad Sci U S A,2019

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