Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.

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dc.contributor.advisor Maria Mayorga, Chair
dc.contributor.advisor Radmila Sazdanovic, Member
dc.contributor.advisor Javad Taheri, Member
dc.contributor.advisor Kristen Hassmiller Lich, Inter-Institutional
dc.contributor.advisor Radmila Sazdanovic, Graduate School Representative
dc.contributor.author Yi, Zinan
dc.date.accessioned 2016-11-22T13:31:25Z
dc.date.available 2016-11-22T13:31:25Z
dc.date.issued 2016-08-05
dc.date.submitted 2016-08-05
dc.identifier.other deg5458
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.20/33357
dc.rights
dc.title Anticipating U.S. Population-level Health Trends Based on Individual-level Dynamics to Inform Public Policy Decisions.
dc.degree.name Doctor of Philosophy
dc.degree.level dissertation
dc.degree.discipline Operations Research
dc.date.accepted 2016-11-17
dc.date.defense 2016-08-05
dc.date.released 2016-11-22
dc.date.reviewed 2016-08-16


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