Targeted learning with daily EHR data
From MaRDI portal
Publication:6624675
DOI10.1002/sim.8164zbMATH Open1545.62569MaRDI QIDQ6624675
Oleg Sofrygin, Alyce S. Adams, Unnamed Author, Zheng Zhu, Mark Johannes van der Laan, Unnamed Author, Romain Neugebauer
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
EHRmachine learningbig datacausal inferencetargeted minimum loss-based estimationdynamic treatment regimes
Cites Work
- Unnamed Item
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Causal inference through potential outcomes and principal stratification: application to studies with ``censoring due to death
- Causal inference in statistics: an overview
- Principal Stratification in Causal Inference
- The cross-validated adaptive epsilon-net estimator
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Modeling the impact of hepatitis C viral clearance on end‐stage liver disease in an HIV co‐infected cohort with targeted maximum likelihood estimation
- Super Learner
- Random forests
- The Elements of Statistical Learning
- 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
- A generally efficient targeted minimum loss based estimator based on the highly adaptive Lasso
- Targeted minimum loss based estimation of causal effects of multiple time point interventions
Related Items (3)
A comparison of different methods to adjust survival curves for confounders ⋮ Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation ⋮ Impact of discretization of the timeline for longitudinal causal inference methods
This page was built for publication: Targeted learning with daily EHR data