Bios 7323: 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,

TA: Nathan James, Department of Biotatistics,

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

  • 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/presentation 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.

Lecture notes, assignments, lab materials, etc. are available on Brightspace.
I Attachment Action Size Date Who Comment
Lab2.pdfpdf Lab2.pdf manage 97 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 K 23 Aug 2013 - 09:37 JoAnnAlvarez example data for lab 2013 08 23
lab2.RR lab2.R manage 2 K 30 Aug 2013 - 13:33 JoAnnAlvarez R code for lab 2
labSchedule.xlsxxlsx labSchedule.xlsx manage 5 K 23 Aug 2013 - 09:21 JoAnnAlvarez Lab schedule and classroom locations
readinmtd.RR readinmtd.R manage 5 K 23 Aug 2013 - 09:38 JoAnnAlvarez R script to read data example for lab 2013 08 23
tonguecancer.csvcsv tonguecancer.csv manage 2 K 10 Sep 2013 - 23:35 JoAnnAlvarez example data
Topic revision: r9 - 24 Aug 2017, NathanTJames
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