Title:
NON-PARAMETRIC ANALYSIS FOR TIME SERIES GAP DATA WITH APPLICATIONS IN ACUTE MYOCARDIAL INFARCTION DISEASE

dc.contributor.advisor Houdré, Christian
dc.contributor.author Li, Hangfan
dc.contributor.committeeMember Zhilova, Mayya
dc.contributor.committeeMember Damron, Michael
dc.contributor.committeeMember Mao, Cheng
dc.contributor.committeeMember Mei, Yajun
dc.contributor.department Mathematics
dc.date.accessioned 2022-05-18T19:21:54Z
dc.date.available 2022-05-18T19:21:54Z
dc.date.created 2021-05
dc.date.issued 2021-02-15
dc.date.submitted May 2021
dc.date.updated 2022-05-18T19:21:55Z
dc.description.abstract Gap data problems are very popular recently, since scientists are more curious about what occurs during a period where information might be missing or unrecorded. Here, a nonparametric method called Imputed Empirical estimating (IEE) method will be illustrated. Moreover, using IEE into the medical field to estimate T_1, which is the first recovery time after an acute myocardial infraction will be discussed as well. Simulation studies are shown to assess the accuracy of the IEE estimate and demonstrate that the IEE method outperformed all other algorithms. An IEE estimate of the survival function based on the real-life data will also be provided to show the real-world application. Mathematical proofs will be provided if applicable.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/66425
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Gap Data
dc.subject Non-Parametric
dc.subject Time Series
dc.subject Kaplan–Meier estimator
dc.subject Survival Analysis
dc.title NON-PARAMETRIC ANALYSIS FOR TIME SERIES GAP DATA WITH APPLICATIONS IN ACUTE MYOCARDIAL INFARCTION DISEASE
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Houdré, Christian
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Mathematics
relation.isAdvisorOfPublication 1fcd2323-5c4e-4e86-92a2-574f8decf21e
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 84e5d930-8c17-4e24-96cc-63f5ab63da69
thesis.degree.level Doctoral
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