Selection Biases in Perinatal Research: A Comparison of Inverse Probability Weighting, Instrumental Variable and Sibling‐Comparison Design
Across the simulated scenarios, the mean bias in all three approaches was generally away from the null in the same direction and often to a similar extent. Thus, triangulating effect estimates from different analytic approaches in perinatal studies is challenging and may lead to invalid interpretations in the presence of selection processes.
Authors
- Roger Shapiro (ORCID: https://orcid.org/0000-0002-4832-6275)
- Ellen C. Caniglia (ORCID: https://orcid.org/0000-0001-8667-6471)
- Sonja A. Swanson (ORCID: https://orcid.org/0000-0002-2535-9605)
- Sean S. Brummel (ORCID: https://orcid.org/0000-0002-4116-404X)
- Basma N. Dib
Institutions
- Harvard University (US)
- University of Pittsburgh (US)
- Cancer Research And Biostatistics (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Paediatric and Perinatal Epidemiology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1111/ppe.70021
- Citations
- 2
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.26
Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development