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20132025
most citedStatistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

181 citations · 241 across the 29 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

math.ST2016★ 1 cited

Toward computerized efficient estimation in infinite-dimensional models

Marco Carone, Alexander R. Luedtke, Mark J. van der Laan

Despite the risk of misspecification they are tied to, parametric models continue to be used in statistical practice because they are accessible to all. In particular, efficient es…

stat.ML2016

Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits

Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz

We study a generalization of the multi-armed bandit problem with multiple plays where there is a cost associated with pulling each arm and the agent has a budget at each time that…

stat.ME2016

Parametric-Rate Inference for One-Sided Differentiable Parameters

Alexander R. Luedtke, Mark J. van der Laan

Suppose one has a collection of parameters indexed by a (possibly infinite dimensional) set. Given data generated from some distribution, the objective is to estimate the maximal p…

math.ST2016★ 181 cited

Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

Alexander R. Luedtke, Mark J. van der Laan

We consider challenges that arise in the estimation of the mean outcome under an optimal individualized treatment strategy defined as the treatment rule that maximizes the populati…

stat.ME2016

Evaluating the Impact of Treating the Optimal Subgroup

Alexander R. Luedtke, Mark J. van der Laan

Suppose we have a binary treatment used to influence an outcome. Given data from an observational or controlled study, we wish to determine whether or not there exists some subset…