Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery
成果类型：
Editorial Material
署名作者：
Kosorok, Michael R.; Laber, Eric B.; Small, Dylan S.; Zeng, Donglin
署名单位：
University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; North Carolina State University; University of Pennsylvania
刊物名称：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN：
0162-1459
DOI：
10.1080/01621459.2020.1863224
发表日期：
2021
页码：
159-161
关键词：
摘要：
We introduce the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery. The issue consists of four discussion papers, grouped into two pairs, and sixteen regular research papers that cover many important lines of research on data-driven decision making. We hope that the many provocative and original ideas presented herein will inspire further work and development in precision medicine and personalization.
来源URL：