Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials
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Publication:6628354
DOI10.1002/sim.9348zbMATH Open1547.62327MaRDI QIDQ6628354
Haodong Li, Andrew Mertens, Jade Benjamin-Chung, Mark Johannes van der Laan, Benjamin F. Arnold, Nima S. Hejazi, Ivana Malenica, Jeremy R. Coyle, Sonali Rosete, Unnamed Author, John M. jun. Colford, Alan E. Hubbard
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
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- Population Intervention Causal Effects Based on Stochastic Interventions
- Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data
- Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning
- Consistent estimation of the influence function of locally asymptotically linear estimators
- Generalized additive models
- On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
- Estimating average causal effects under general interference, with application to a social network experiment
- Unified methods for censored longitudinal data and causality
- Inefficient estimators of the bivariate survival function for three models
- A practical illustration of the importance of realistic individualized treatment rules in causal inference
- Higher order influence functions and minimax estimation of nonlinear functionals
- The central role of the propensity score in observational studies for causal effects
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- An Application of Targeted Maximum Likelihood Estimation to the Meta‐Analysis of Safety Data
- Double/debiased machine learning for treatment and structural parameters
- A Generalization of Sampling Without Replacement From a Finite Universe
- Complier Stochastic Direct Effects: Identification and Robust Estimation
- Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference
- Doubly robust and efficient estimation of marginal structural models for the hazard function
- Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data -- a comparison of targeted maximum likelihood estimation and inverse probability of treatment weighting
- Targeted maximum likelihood learning
- Simple optimal weighting of cases and controls in case-control studies
- Collaborative double robust targeted maximum likelihood estimation
- An application of collaborative targeted maximum likelihood estimation in causal inference and genomics
- Collaborative targeted maximum likelihood for time to event data
- The relative performance of targeted maximum likelihood estimators
- Targeted minimum loss based estimation of causal effects of multiple time point interventions
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