Precision Medicine.

TitlePrecision Medicine.
Publication TypeJournal Article
Year of Publication2019
AuthorsKosorok, Michael R., and Eric B. Laber
JournalAnnu Rev Stat Appl
Volume6
Pagination263-286
Date Published2019 Mar
ISSN2326-8298
Abstract

Precision medicine seeks to maximize the quality of healthcare by individualizing the healthcare process to the uniquely evolving health status of each patient. This endeavor spans a broad range of scientific areas including drug discovery, genetics/genomics, health communication, and causal inference all in support of evidence-based, i.e., data-driven, decision making. Precision medicine is formalized as a treatment regime which comprises a sequence of decision rules, one per decision point, which map up-to-date patient information to a recommended action. The potential actions could be the selection of which drug to use, the selection of dose, timing of administration, specific diet or exercise recommendation, or other aspects of treatment or care. Statistics research in precision medicine is broadly focused on methodological development for estimation of and inference for treatment regimes which maximize some cumulative clinical outcome. In this review, we provide an overview of this vibrant area of research and present important and emerging challenges.

DOI10.1146/annurev-statistics-030718-105251
Alternate JournalAnnu Rev Stat Appl
Original PublicationPrecision medicine.
PubMed ID31073534
PubMed Central IDPMC6502478
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
R01 DK108073 / DK / NIDDK NIH HHS / United States