183 citations · 348 across the 27 of their papers we have counts for
16 papers · 1 filter
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,…
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…
Sample Size Calculations for SMARTs
Eric J. Rose, Eric B. Laber, Marie Davidian +3
Sequential Multiple Assignment Randomized Trials (SMARTs) are considered the gold standard for estimation and evaluation of treatment regimes. SMARTs are typically sized to ensure…
Note on Thompson sampling for large decision problems
Tao Hu, Eric B. Laber, Zhen Li +2
There is increasing interest in using streaming data to inform decision making across a wide range of application domains including mobile health, food safety, security, and resour…