Constructing stabilized dynamic surveillance rules for optimal monitoring...
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Sparse Mediation Analysis with Unmeasured Mediator-outcome Confounding
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Causal inference and counterfactual prediction of treatment benefit: modeling...
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Harnessing Extra Randomness: Replicability, Flexibility and Causality
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Likelihood Based Mendelian Randomization Analysis with...
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Mendelian Randomization Analysis with Pleiotropy-robust...
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Alcohol and Cardiovascular Disease- is Moderate Drinki
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On Regression-adjusted Imputation Estimators of the Averag
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Total causal effects in MPDAGs- identification and minimal enumeration
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Vaccine Effectiveness Estimation Under the Test-negative Design....
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Design-based theory for cluster rerandomization
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Randomization and Covariate Adjustment in Split-plot Designs
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A Bayesian Reinforcement Learning Framework for Optimizing Sequential ...
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Outcome-adaptive LASSO for confounder selection with time-varying treatments
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开幕式Opening Ceremony
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Advances in Causal Representation Learning: Discovery of the Hidden World
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Causal determinants of postoperative length of stay in cardiac surgery using...
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Intention-to-Treat Comparisons in Randomized Trials
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Fighting Noise with Noise- Causal Inference with Many Candidate Instruments
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Causal Inference of Truncation-by-Death with Unmeasured Confounding
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Identification and Estimation of Treatment Effects on Long-term Outcomes in...
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On prediction, action and interference in algorithmic fairness
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Causal Discovery with Latent Variables Based on Higher-Order Cumulants
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Causal Learning & Machine Learning
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2018人工智能医疗大数据学术研讨会 | 第四节：Towards Robust and Interpretable AI
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Causal Inference and Transfer Learning 金奖：机器不学习啦-腾讯&厦门大学队
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