Bios 323: Applied Survival Analysis

Summary: This is an introductory course in the analysis of time to event data where censoring and truncation may be present. Upon completion of this course, you will be able to:
  • Distinguish different types of survival data (e.g., completed, right/left censored, right/left truncated);
  • Identify basic quantities and survival models;
  • Conduct basic nonparametric and parametric inferences and hypothesis testing;
  • Apply semiparametric cox proportional hazards model and check its assumption;
  • Basic knowledge of other survival analysis;
  • Use R/Stata software to analyze various datasets.
Instructor: Qingxia (Cindy) Chen, Department of Biotatistics, MCN D2204, 6-8058, cindy.chen@vanderbilt.edu

TA: JoAnn Alvarez, Department of Biotatistics, 490 Preston Research Building, joann.alvarez@vanderbilt.edu

Lecture Time and Place: TTH 1:30-3:00pm , MCE 8380 A** (RLH 412: 9/12, 10/10, 11/14)
Lab: F 10:00-11:00am, MCE 8380 A (RLH 412: 8/30, 9/13, 10/11, 11/8, 11/29, 12/13; and RLH 350: 9/27, 10/4, 11/1; and MCE 8323**: 10/25).
Lab schedule and classroom locations
MCE 8323 and MCE 8380 A - MCE - Take South Tower elevators to Bill Wilkerson Center, both rooms are within that suite.

Office Hour: T 3:00-4:00pm, MCN D-2204


Textbooks:
  • Klein & Moeschberger (K&M): Survival Analysis: Techniques for censored and truncated data (2003, 2nd edition)
Reference Books:
  • Modeling Survival Data: Extending the Cox Model by Terry M. Therneau and Patricia M. Grambsch (2000)
Course Components: There will be six homework assignments, worth a total of 30 points, and two exams (Midterm and Final), worth 30 and 40 points, respectively. You must do all homework problems on your own, although you may discuss the problems with other students. Assignments must be turned in on time for credit. Grades will be based on the total points achieved.
Topic attachments
I Attachment Action Size Date Who Comment
Lab2.pdfpdf Lab2.pdf manage 97.4 K 30 Aug 2013 - 11:45 JoAnnAlvarez lab 2
SINET-MTD-stats-04-02-13.csvcsv SINET-MTD-stats-04-02-13.csv manage 9.4 K 23 Aug 2013 - 09:37 JoAnnAlvarez example data for lab 2013 08 23
lab2.RR lab2.R manage 2.2 K 30 Aug 2013 - 13:33 JoAnnAlvarez R code for lab 2
labSchedule.xlsxxlsx labSchedule.xlsx manage 5.4 K 23 Aug 2013 - 09:21 JoAnnAlvarez Lab schedule and classroom locations
readinmtd.RR readinmtd.R manage 5.0 K 23 Aug 2013 - 09:38 JoAnnAlvarez R script to read data example for lab 2013 08 23
tonguecancer.csvcsv tonguecancer.csv manage 2.9 K 10 Sep 2013 - 23:35 JoAnnAlvarez example data
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Topic revision: r7 - 10 Sep 2013, JoAnnAlvarez
 

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