A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators
From MaRDI portal
Publication:6632727
DOI10.1515/ijb-2015-0028MaRDI QIDQ6632727
Romain Neugebauer, Unnamed Author, Mark Johannes van der Laan
Publication date: 5 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
marginal structural modelinverse probability weightingpropensity scoresuper learningdata-adaptive estimation
Cites Work
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- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment
- Nonparametric causal effects based on marginal structural models
- Causal inference in statistics: an overview
- Multivariate adaptive regression splines
- Association, causation, and marginal structural models.
- Unified methods for censored longitudinal data and causality
- Least angle regression. (With discussion)
- Data-adaptive estimation of the treatment-specific mean
- Oracle inequalities for multi-fold cross validation
- The cross-validated adaptive epsilon-net estimator
- Asymptotic Statistics
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Polychotomous Regression
- Super Learner
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics
- A Generalization of Sampling Without Replacement From a Finite Universe
- Random forests
- Targeted estimation of nuisance parameters to obtain valid statistical inference
- When to start treatment? A systematic approach to the comparison of dynamic regimes using observational data
Related Items (4)
Targeted learning with daily EHR data ⋮ Should a propensity score model be super? The utility of ensemble procedures for causal adjustment ⋮ Parametric and nonparametric propensity score estimation in multilevel observational studies ⋮ Statistical inference for data-adaptive doubly robust estimators with survival outcomes
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