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 extensions and check its assumption;
- Perform sample size calculations for time-to-event data;
- Describe survival analysis techniques for recurrent/multivariate events data and competing risk;
- Use R software to analyze various datasets.
Instructor: Qingxia (Cindy) Chen, Department of Biotatistics, 2525 West End Ave, Room 11126,
cindy.chen@vanderbilt.edu
TA: Nathan James, Department of Biotatistics,
nathan.t.james@vanderbilt.edu
Lecture Time and Place - Cindy: TTH 1:30-2:50pm, 2525 West End Ave, Room 11139
Office Hour - Cindy:
TBA, 2525 West End Ave, Room 11126
Lab: M 1:30-2:30pm, 2525 West End Ave, Room 11139
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 eight homework assignments, worth a total of 25 points; two exams (Midterm and Final), worth 25 and 30 points, respectively; one project worth 15 points; and class and lab attendance, worth 5 points, unless with pre-approval from instructor.
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.