Stochastic Intervention

TL;DR

This paper explores stochastic intervention to determine optimal treatment distributions that maximize expected outcomes, providing a new summary method to guide decision-making in treatment selection.

Contribution

It introduces a novel approach to summarize treatment effects using stochastic intervention, aiding practitioners in choosing better interventions.

Findings

Proposes a stochastic intervention framework for treatment optimization.

Provides a method to summarize effects of various treatments.

Guides practitioners in intervention decision-making.

Abstract

This article discusses the application of stochastic intervention to find the optimal treatment distribution yielding a high value of expected potential outcome under the setting where the number of treatments is allowed to vary with $n$. The primary motivation is to obtain a novel summarization of the effect of various treatments which would guide practitioners towards better decision regarding which intervention to choose.