Recent years have seen an explosion of activity in the field of functional data analysis (FDA),
in which curves, spectra, images and so on are considered as basic functional data units. A …

Many statistical methods have recently been developed for identifying subgroups of patients
who may benefit from different available treatments. Compared with the traditional outcome …

A treatment regime is a sequence of decision rules, one per decision point, that maps
accumulated patient information to a recommended intervention. An optimal treatment …

ABSTRACT A dynamic treatment regime is a sequence of decision rules, each of which
recommends treatment based on features of patient medical history such as past treatments …

The amount and complexity of patient-level data being collected in randomized-controlled
trials offer both opportunities and challenges for developing personalized rules for assigning …

This article studies an important sequential decision making problem known as the multi-
armed stochastic bandit problem with covariates. Under a linear bandit framework with high …

We consider estimation of an optimal individualized treatment rule when a high-dimensional
vector of baseline variables is available. Our optimality criterion is with respect to delaying …

Functional data analysis, which handles data arising from curves, surfaces, volumes,
manifolds and beyond in a variety of scientific fields, is a rapidly developing area in modern …

Treatment-selection markers predict an individual's response to different therapies, thus
allowing for the selection of a therapy with the best predicted outcome. A good marker …

Evidence-based personalized medicine formalizes treatment selection as an individualized
treatment regime that maps up-to-date patient information into the space of possible …