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Course Catalog

140.606.11 SURVIVAL ANALYSIS

Department: Biostatistics
Term: Summer Inst. term
Credits: 2 credits
Contact: Ayesha Khan
Academic Year: 2012 - 2013
Course Instructor:
Description:

This introductory course introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Parametric inferences are introduced using the exponential and Weibull distributions. Regression analysis of the Cox proportional hazards model, and its extensions to time-dependent covariates, will also be introduced. Special topics, such as non-proportional hazards models and multivariate survival times, will be discussed. An important focus of the course will be using data sets from clinical and epidemiological studies to illustrate the introduced statistical methods and show how to make scientific interpretations from the numerical results. SAS and Stata will be the computation softwares used in class. Students can also choose a software based on their own preference when doing exercises.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Describe fundamental concepts in survival analysis
Utilize statistical methods which are useful in medical follow-up studies and in general time-to-event studies
The following topics are included in this course: censoring, truncation, hazard and survival functions, Kaplan-Meier estimator, log-rank tests, Cox proportional hazards model

Methods of Assessment: Method of student evaluation based on problem sets and an exam
Location: East Baltimore
Class Times:
  • Mon 06/18/2012 - Fri 06/22/2012
  • Monday 1:30 - 5:00
  • Tuesday 1:30 - 5:00
  • Wednesday 1:30 - 5:00
  • Thursday 1:30 - 5:00
  • Friday 1:30 - 5:00
Enrollment Minimum: 10
Enrollment Restriction: 0
Instructor Consent: No consent required
Prerequisite:

0

Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail