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- Title
Methods of confounder selection in obstetrics and gynaecology studies: An overview of recent practice.
- Authors
Socha, Peter M.; Harper, Sam; Hutcheon, Jennifer A.
- Abstract
This article provides an overview of the methods used to select confounders in obstetrics and gynecology studies. Confounders are variables that can influence the relationship between an intervention or exposure and a health outcome. The article discusses the importance of selecting appropriate confounders and the potential for bias when using data-driven methods. The study found that many studies in obstetrics and gynecology did not clearly state their approach to selecting confounders, and data-driven methods were commonly used. The authors emphasize the need for content knowledge and suggest using directed acyclic graphs (DAGs) to clearly report modeling assumptions.
- Subjects
DIRECTED acyclic graphs; CAUSAL inference; PREMENSTRUAL syndrome; CEREBRAL palsy; GESTATIONAL age; STATISTICAL hypothesis testing
- Publication
BJOG: An International Journal of Obstetrics & Gynaecology, 2024, Vol 131, Issue 10, p1430
- ISSN
1470-0328
- Publication type
Article
- DOI
10.1111/1471-0528.17799