183 citations · 348 across the 27 of their papers we have counts for
30 papers
Predicting Bot Vulnerability from Posting Trajectories: Censored Functional Regression under Informative Sampling
Jake Koerner, Ana-Maria Staicu, Caitrin Murphy +4
In this manuscript, we propose a novel framework for Scalar-on Censored Informative-design Functional Regression or SoCIFR. This setting is increasingly common in modern longitudin…
Optimal treatment strategies for prioritized outcomes
Kyle Duke, Eric B. Laber, Marie Davidian +2
Dynamic treatment regimes formalize precision medicine as a sequence of decision rules, one for each stage of clinical intervention, that map current patient information to a recom…
Adaptive Randomization Methods for Sequential Multiple Assignment Randomized Trials (SMARTs) via Thompson Sampling
Peter Norwood, Marie Davidian, Eric Laber
Response-adaptive randomization (RAR) has been studied extensively in conventional, single-stage clinical trials, where it has been shown to yield ethical and statistical benefits,…
Sequential Knockoffs for Variable Selection in Reinforcement Learning
Tao Ma, Jin Zhu, Hengrui Cai +4
In real-world applications of reinforcement learning, it is often challenging to obtain a state representation that is parsimonious and satisfies the Markov property without prior…
Interim Monitoring of Sequential Multiple Assignment Randomized Trials Using Partial Information
Cole Manschot, Eric Laber, Marie Davidian
The sequential multiple assignment randomized trial (SMART) is the gold standard trial design to generate data for the evaluation of multi-stage treatment regimes. As with conventi…
Inference for change-plane regression
Chaeryon Kang, Hunyong Cho, Rui Song +3
A key challenge in analyzing the behavior of change-plane estimators is that the objective function has multiple minimizers. Two estimators are proposed to deal with this non-uniqu…