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...
Main Authors: | Antonio Remiro-Azócar, Anna Heath, Gianluca Baio |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-02-01
|
Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12874-024-02157-x |
Similar Items
-
Two-stage matching-adjusted indirect comparison
by: Antonio Remiro-Azócar
Published: (2022-08-01) -
Multiple Imputation of Composite Covariates in Survival Studies
by: Lily Clements, et al.
Published: (2022-03-01) -
Evaluating the validity of multiple imputation for missing physiological data in the national trauma data bank
by: Moore Lynne, et al.
Published: (2009-01-01) -
Outcome-sensitive multiple imputation: a simulation study
by: Evangelos Kontopantelis, et al.
Published: (2017-01-01) -
Comparison of multiple imputation and other methods for the analysis of imputed genotypes
by: Paul L. Auer, et al.
Published: (2023-06-01)