In this paper, I study the statistical inference problem for treatment assignment policies. In
typical applications, individuals with different characteristics are expected to differ in their …

This paper proposes a novel method to estimate individualised treatment assignment rules.
The method is designed to find rules that are stochastic, reflecting uncertainty in estimation …

This paper studies statistical decisions for dynamic treatment assignment problems. Many
policies involve dynamics in their treatment assignments where treatments are sequentially …

This paper studies a penalized statistical decision rule for the treatment assignment
problem. Consider the setting of a utilitarian policy maker who must use sample data to …

One of the main objectives of empirical analysis of experiments and quasi-experiments is to
inform policy decisions that determine the allocation of treatments to individuals with …

One of the main objectives of empirical analysis of experiments and quasi‐experiments is to
inform policy decisions that determine the allocation of treatments to individuals with …

Estimation of average treatment effects under unconfounded or ignorable treatment
assignment is often hampered by lack of overlap in the covariate distributions between …

Practitioners often use data from a randomized controlled trial to learn a treatment
assignment policy that can be deployed on a target population. A recurring concern in doing …

There is increasing interest in allocating treatments based on observed individual
characteristics: examples include targeted marketing, individualized credit offers, and …

Choosing among a number of treatments the most suitable for a particular client is an issue
of everyday concern. In this article two methodological advances for statistically assisted …