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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.
