Ontology highlight
ABSTRACT:
SUBMITTER: Su L
PROVIDER: S-EPMC6551619 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Stat (International Statistical Institute) 20190211 1
In many network-based intervention studies, treatment applied on an individual or his or her own characteristics may also affect the outcome of other connected people. We call this interference along network. Approaches for deriving the optimal individualized treatment regimen remain unknown after introducing the effect of interference. In this paper, we propose a novel network-based regression model that is able to account for interaction between outcomes and treatments in a network. Both Q-lea ...[more]