<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>STA3108 | Gyumin Lee</title><link>https://gyumin-lee68.github.io/tags/sta3108/</link><atom:link href="https://gyumin-lee68.github.io/tags/sta3108/index.xml" rel="self" type="application/rss+xml"/><description>STA3108</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Sep 2022 00:00:00 +0000</lastBuildDate><image><url>https://gyumin-lee68.github.io/media/icon_hu7729264130191091259.png</url><title>STA3108</title><link>https://gyumin-lee68.github.io/tags/sta3108/</link></image><item><title>Survival Data Analysis</title><link>https://gyumin-lee68.github.io/teaching/22fall_survival/</link><pubDate>Thu, 01 Sep 2022 00:00:00 +0000</pubDate><guid>https://gyumin-lee68.github.io/teaching/22fall_survival/</guid><description>&lt;p>Instructor: Professor Sangwook Kang (Dept. of Applied Statistics, Yonsei University)&lt;/p>
&lt;p>Textbook: Lecture notes&lt;/p>
&lt;p>Topics: Censoring &amp;amp; truncation, distributions used in survival analysis, parametric statistical analysis, Kaplan-Meier estimator of survival function, estimation of hazard function, logrank test, accelerated failure time/ proportional hazards / proportional odds model, cox regression models &amp;amp; model diagnostics&lt;/p>
&lt;p>Assessment: Class attendance (5%) + Course project (10%) + Assignments (25%) + Midterm (30%)+ Final (30%)&lt;/p>
&lt;p>For Tutees: The class will be structured to include a review of the week&amp;rsquo;s content followed by solving related exercises. Additionally, we will practice applying new methodologies using the R program, so please make sure to bring your laptop. If there are any specific topics or issues you&amp;rsquo;d like to discuss, please let me know at least a day in advance.&lt;/p>
&lt;p>If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.&lt;/p></description></item></channel></rss>