Statistical Methods for Missing Data and Composite Outcomes in Reinforcement Learning with Electronic Health Record Data.

Simple item page
dc.contributor.advisorWenbin Lu, Co-Chair
dc.contributor.advisorRui Song, Co-Chair
dc.contributor.advisorMarie Davidian, Member
dc.contributor.advisorShu Yang, Member
dc.contributor.advisorMichael Mullen, Graduate School Representative
dc.contributor.authorWang, Han
dc.date.accepted2023-11-20
dc.date.accessioned2023-11-21T13:30:24Z
dc.date.available2023-11-21T13:30:24Z
dc.date.defense2023-07-24
dc.date.issued2023-07-24
dc.date.released2023-11-21
dc.date.reviewed2023-08-02
dc.date.submitted2023-07-31
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg34833
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/41416
dc.titleStatistical Methods for Missing Data and Composite Outcomes in Reinforcement Learning with Electronic Health Record Data.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
1.18 MB
Format:
Adobe Portable Document Format
Download

Collections

Dissertations