DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.
Yanbo XuCao XiaoJimeng SunPublished in: CoRR (2020)
Keyphrases
- observational data
- experimental data
- causal discovery
- directed acyclic graph
- causal structure
- causal bayesian networks
- causal models
- latent variables
- causal effects
- causal relationships
- bayesian networks
- recurrent neural networks
- feed forward
- sample size
- data sets
- upper bound
- reinforcement learning
- training data
- cancer patients
- decision trees
- databases