PhD Defense by Hangfan Li

Event Details
  • Date/Time:
    • Tuesday March 24, 2020
      3:00 pm - 4:00 pm
  • Location: REMOTE
  • Phone:
  • URL: BlueJeans
  • Email:
  • Fee(s):
    N/A
  • Extras:
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Summaries

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

Full Summary: No summary paragraph submitted.

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. 

 

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Conference/Symposium
Keywords
Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Mar 23, 2020 - 3:57pm
  • Last Updated: Mar 23, 2020 - 3:57pm