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Survival Analysis

Course Status

East Baltimore
Summer Institute
Academic Year
2022 - 2023
Instruction Method
Auditors Allowed
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Introduces parametric inferencesusing the exponential and Weibull distributions. Also introduces regression analysis of the Cox proportional hazards model, and its extensions to time-dependent covariates. Discusses special topics, such as non-proportional hazards models and multivariate survival times. Focuses on using data sets from clinical and epidemiological studies to illustrate the introduced statistical methods and to show how to make scientific interpretations from the numerical results. SAS and Stata are the computation softwares used in class. Students can also choose a software based on their own preference when doing exercises.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Describe fundamental concepts in survival analysis
  2. Utilize statistical methods which are useful in medical follow-up studies and in general time-to-event studies
  3. 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
This course is evaluated as follows:
  • 20% Homework
  • 20% Homework
  • 20% Homework
  • 20% Homework
  • 20% Final Exam
Special Comments

All in-person classes will be taught online via Zoom, on the dates and times the course is scheduled. For further information, please see the Institute website