Assessing Confidence in Policies Learned from Sequential Randomized Trials

By Daniel J. Lizotte, Eric B. Laber, Susan A. Murphy. 2009

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Eric B. Laber
2. Daniel J. Lizotte
3. Susan M. Shortreed
4. D. Almirall
5. Chao Yu
6. Michael R. Kosorok
7. Ying‐Qi Zhao
8. Susan A. Murphy

Citations in the corpus

• Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010, methodology): “Bootstrap voting is an exploratory data analysis method that graphically presents the evidence in the data for a learned action choice at a given stage (Lizotte et al. 2009).”
• Dynamic treatment regimes (2009, methodology): “Instead of providing confidence sets for ψ 10 and ψ 11 , Lizotte et al. (2009) proposed a " voting method " , the vote for a treatment is an estimation of the probability that the treatment would be selected as the best treatment if the trial were conducted again.”