Model-based standardization using multiple imputation

Model-based standardization using multiple imputation

Abstract Background When studying the association between treatment and a clinical outcome, a parametric multivariable model of the conditional outcome expectation is often used to adjust for covariates. The treatment coefficient of the outcome model targets a conditional treatment effect. Model-bas...

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Bibliographic Details
Main Authors: Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Medical Research Methodology
Subjects:
Standardization
Marginalization
Multiple imputation
Parametric G-computation
Covariate adjustment
Indirect treatment comparisons
Online Access:https://doi.org/10.1186/s12874-024-02157-x

Internet

https://doi.org/10.1186/s12874-024-02157-x

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