Statistical Learning Methods for Dynamic Prediction of Residual Life and Estimation of Optimal Treatment Regimes with Electronic Medical Record Data.

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dc.contributor.advisorMarie Davidian, Co-Chair
dc.contributor.advisorWenbin Lu, Co-Chair
dc.contributor.advisorDaowen Zhang, Member
dc.contributor.advisorKevin Flores, Member
dc.contributor.authorRhodes, Grace Marie
dc.date.accepted2023-03-22
dc.date.accessioned2023-04-01T12:30:34Z
dc.date.available2023-04-01T12:30:34Z
dc.date.defense2023-03-10
dc.date.issued2023-03-10
dc.date.released2023-04-01
dc.date.reviewed2023-03-15
dc.date.submitted2023-03-12
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg32444
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40762
dc.titleStatistical Learning Methods for Dynamic Prediction of Residual Life and Estimation of Optimal Treatment Regimes with Electronic Medical Record Data.

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