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
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Publication:6632690
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)
measurement errorcensored datacausal inferencemarginal structural modelinverse probability weighting
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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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