Using Effect Scores to Characterize Heterogeneity of Treatment Effects

Guanbo Wang; Patrick J Heagerty; Issa J Dahabreh

doi:10.1001/jama.2024.3376

Using Effect Scores to Characterize Heterogeneity of Treatment Effects

JAMA. 2024 Apr 9;331(14):1225-1226. doi: 10.1001/jama.2024.3376.

Authors

Guanbo Wang¹, Patrick J Heagerty^{2

3}, Issa J Dahabreh^{1

3

4}

Affiliations

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.

PMID: 38501213
DOI: 10.1001/jama.2024.3376

No abstract available

Plain language summary

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.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Critical Illness* / therapy
Humans
Models, Statistical*
Oximetry
Oxygen / analysis
Patient Acuity*
Randomized Controlled Trials as Topic
Treatment Effect Heterogeneity*

Substances

Oxygen