Doubly Robust Causal Modeling to Evaluate Device Implantation

Michelle Shardell; Chixiang Chen; Rozalina G McCoy

doi:10.1001/jamainternmed.2024.1181

Doubly Robust Causal Modeling to Evaluate Device Implantation

JAMA Intern Med. 2024 May 6. doi: 10.1001/jamainternmed.2024.1181. Online ahead of print.

Authors

Michelle Shardell^{1

2}, Chixiang Chen^{2

3}, Rozalina G McCoy^{2

3

4}

Affiliations

¹ Institute for Genome Science, University of Maryland School of Medicine, Baltimore.
² Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
³ University of Maryland Institute for Health Computing, North Bethesda.
⁴ Division of Endocrinology, Diabetes & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore.

PMID: 38709499
DOI: 10.1001/jamainternmed.2024.1181

No abstract available

Plain language summary

This Guide to Statistics and Methods explains doubly robust causal modeling, which offers 2 opportunities to correctly model confounders, when to use it, and discusses its limitations.