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  <title><![CDATA[PhD Defense by Hangfan Li]]></title>
  <body><![CDATA[<p><strong>Title:&nbsp;&nbsp;Non-Parametric Analysis for Timer Series Gap Data with Applications in Acute Myocardial Infarction Disease</strong></p>

<p>&nbsp;</p>

<p>Speaker: Hangfan Li</p>

<p>&nbsp;</p>

<p>Location: Bluejeans Meeting:&nbsp;&nbsp;<a href="https://bluejeans.com/1944254448" id="LPlnk908977">https://bluejeans.com/194425444</a></p>

<p>Time: March 24th, 3pm-4pm</p>

<p>&nbsp;</p>

<p>Abstract:&nbsp;Gap data problems are very popular&nbsp;recently since scientists are more curious about what occurs during a period where information</p>

<p>might be missing or unrecorded.&nbsp;Here, a nonparametric method&nbsp;called Imputed Empirical Estimating&nbsp;(IEE) method will be illustrated. Moreover, using IEE into the medical field to estimate T1,&nbsp;which is the first recovery time after an&nbsp;acute myocardial infraction&nbsp;will be discussed as well.&nbsp;By utilizing the simulation, IEE provides a better estimate&nbsp;of the survival function of the true first recovery time compared with all existing other estimating&nbsp;approaches&nbsp;(Weighted Estimating Equation,&nbsp;&nbsp;Maximum Likelihood Estimate, etc.).</p>

<p>&nbsp;</p>

<p>Committee Members:</p>

<p>&nbsp;</p>

<p>Prof. Christian Houdre (Thesis Advisor)</p>

<p>Prof. Michael Damron,&nbsp;</p>

<p>Prof. Cheng Mao,</p>

<p>Prof. Yajun Mei,</p>

<p>Prof. Mayya Zhilova.&nbsp;</p>

<p>&nbsp;</p>
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