183 citations · 348 across the 27 of their papers we have counts for
Showing 2019 · stat.MEShow all
3 papers · 2 filters
stat.ME2019★ 2 cited
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…
stat.ME2019★ 1 cited
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…
stat.ME2019★ 78 cited
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning +2
Individualized treatment rules aim to identify if, when, which, and to whom treatment should be applied. A globally aging population, rising healthcare costs, and increased access…