The effect of error-in-confounders on the estimation of the causal parameter when using marginal structural models and inverse probability-of-treatment weights: a simulation study

DOI10.1515/IJB-2012-0039MaRDI QIDQ6632690

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Publication date: 5 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

measurement errorcensored datacausal inferencemarginal structural modelinverse probability weighting

Mathematics Subject Classification ID

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Cites Work

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• Association, causation, and marginal structural models.
• Comparison of causal effect estimators under exposure misclassification
• Measurement Error
• Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments
• Risk Factor Adjustment in Marginal Structural Model Estimation of Optimal Treatment Regimes
• Inverse probability weighting with error-prone covariates
• Measurement Error in Nonlinear Models
• Analysis of longitudinal marginal structural models

Related Items (2)

Consistent inverse probability of treatment weighted estimation of the average treatment effect with mismeasured time-dependent confounders ⋮ The orthogonally partitioned EM algorithm: extending the EM algorithm for algorithmic stability and bias correction due to imperfect data

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