New Statistical Methods for Precision Medicine: Variable Selection for Optimal Dynamic Treatment Regimes and Subgroup Detection.

Fan, Ailin

Back to search

North Carolina State University

New Statistical Methods for Precision Medicine: Variable Selection for Optimal Dynamic Treatment Regimes and Subgroup Detection.

dc:creator Fan, Ailin

dc:date.issued2016

Abstract

dc:description

North Carolina State University Theses Statistics.

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Fan, Ailin
Advisors dc:contributor.advisor: Wenbin Lu, Co-Chair
Rui Song, Co-Chair
Eric Laber, Member
Howard Bondell, Member
James Wilson, Graduate School Representative

Identifiers

dc:identifier.*

Dc Identifier Other: deg5141
OAI record oai:identifier: https://repository.lib.ncsu.edu/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Arepository.lib.ncsu.edu%3A1840.16%2F11161

Chain of custody

source

Harvested from: North Carolina State University
Base URL: repository.lib.ncsu.edu/server/oai/request
Last updated: 2026-08-21
Source record: OAI-PMH GetRecord

related terms

ncsu
2016

citation

Fan, Ailin. New Statistical Methods for Precision Medicine: Variable Selection for Optimal Dynamic Treatment Regimes and Subgroup Detection.. 2016. http://www.lib.ncsu.edu/resolver/1840.16/11161

New Statistical Methods for Precision Medicine: Variable Selection for Optimal Dynamic Treatment Regimes and Subgroup Detection.

Abstract

Author and committee

Identifiers

Chain of custody

More from North Carolina State University