Journal article
Sibling Comparisons to Account for Confounding in Observational Studies
JAMA : the journal of the American Medical Association, Forthcoming
07 Jan 2026
PMID: 41499111
Featured in Collection : Drexel's Newest Publications
Abstract
Observational studies are often conducted to estimate the effect of an exposure or treatment on a specific patient outcome.1 However, the results may be vulnerable to bias from confounding, which occurs when there are factors that influence both the likelihood of receiving the treatment of interest and the patient’s prognosis. For example, if a more aggressive treatment strategy is more likely to be used in patients with a poorer prognosis, a simple comparison of outcomes will underestimate the benefit of the treatment strategy because it is “penalized” by the differences in prognoses.
Metrics
2 Record Views
Details
- Title
- Sibling Comparisons to Account for Confounding in Observational Studies
- Creators
- Viktor H Ahlqvist - Karolinska InstitutetBrian K Lee - Drexel UniversityYu-Han Chiu - Brown University
- Publication Details
- JAMA : the journal of the American Medical Association, Forthcoming
- Publisher
- JAMA Network
- Number of pages
- 2
- Grant note
- NIH: R35GM154888 Swedish Society for Medical Research: PG-24-0427
Drs Ahlqvist and Lee are funded by NIH (R01NS131433). Dr Ahlqvist receives funding from the Swedish Society for Medical Research (PG-24-0427). Dr Chiu is funded by NIH (R35GM154888).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:001657293400001
- Other Identifier
- 991022152137804721