Confounding Control
Cross-source consensus on Confounding Control from 1 sources and 5 claims.
1 sources · 5 claims
Other
Highlighted claims
- The study uses propensity score-based fine stratification weighting to address confounding. — Abdominopelvic computed tomography during pregnancy and the risk of congenital malformations: protocol for a nationwide population-based cohort study in South Korea
- The primary analysis estimates relative risk and 95% confidence intervals using generalised linear regression. — Abdominopelvic computed tomography during pregnancy and the risk of congenital malformations: protocol for a nationwide population-based cohort study in South Korea
- Adjusted covariates include maternal age, delivery year, child characteristics, birth weight, healthcare use, obstetric conditions, socioeconomic indicators, comorbidity, and other imaging exposures. — Abdominopelvic computed tomography during pregnancy and the risk of congenital malformations: protocol for a nationwide population-based cohort study in South Korea
- Covariate balance is judged adequate when the absolute standardised difference is below 0.1. — Abdominopelvic computed tomography during pregnancy and the risk of congenital malformations: protocol for a nationwide population-based cohort study in South Korea
- Robust variance estimators account for women contributing multiple pregnancies. — Abdominopelvic computed tomography during pregnancy and the risk of congenital malformations: protocol for a nationwide population-based cohort study in South Korea