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PhD Defense by Hangfan Li

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Title:  Non-Parametric Analysis for Timer Series Gap Data with Applications in Acute Myocardial Infarction Disease

 

Speaker: Hangfan Li

 

Location: Bluejeans Meeting:  https://bluejeans.com/194425444

Time: March 24th, 3pm-4pm

 

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 T1, which is the first recovery time after an acute myocardial infraction will be discussed as well. By utilizing the simulation, IEE provides a better estimate of the survival function of the true first recovery time compared with all existing other estimating approaches (Weighted Estimating Equation,  Maximum Likelihood Estimate, etc.).

 

Committee Members:

 

Prof. Christian Houdre (Thesis Advisor)

Prof. Michael Damron, 

Prof. Cheng Mao,

Prof. Yajun Mei,

Prof. Mayya Zhilova. 

 

Status

  • Workflow Status:Published
  • Created By:Tatianna Richardson
  • Created:03/23/2020
  • Modified By:Tatianna Richardson
  • Modified:03/23/2020

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