Longitudinal Adaptive Experimental Design for Learning Multiple Target Estimands with Semiparametric Efficient Inference

arXiv:2607.29421 · stat.ME, stat.ML · Submitted 2026-07-31 · Read on arXiv

Wenxin Zhang, Mark van der Laan

stat.ME, stat.ML

Submitted: 2026-07-31

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Asymptotic Normality — 11× in this paper · explained in 2 episodes
• Longitudinal Data — 7× in this paper · explained in 2 episodes
• Covariate-Adjusted Response-Adaptive — 6× in this paper
• Variance Reduction — 5× in this paper · explained in 2 episodes
• Causal Inference — 4× in this paper · explained in 5 episodes
• Regret — 3× in this paper · explained in 4 episodes
• Response-Adaptive Randomization — 3× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 6 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Contextual Bandit — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Influence Functions — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret
• Adaptive Sequential Design for a Single Time-Series
• An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
• Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs

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