Impact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.

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dc.contributor.advisorLeonard Stefanski, Co-Chair
dc.contributor.advisorEric Laber, Co-Chair
dc.contributor.advisorMarie Davidian, Member
dc.contributor.advisorDennis Boos, Member
dc.contributor.advisorSrinath Ekkad, Graduate School Representative
dc.contributor.authorSaanchi, Yeng
dc.date.accepted2023-04-03
dc.date.accessioned2023-04-05T12:30:33Z
dc.date.available2023-04-05T12:30:33Z
dc.date.defense2022-12-15
dc.date.issued2022-12-15
dc.date.released2023-04-05
dc.date.reviewed2023-01-11
dc.date.submitted2022-12-21
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg31959
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40774
dc.titleImpact of the Choice of Hyper-parameters on Statistical Inference using SGD Estimates and Optimal Experimental Designs for Precision Medicine with Multi-component Treatments.

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