140.606.79
Survival Analysis

Location
Internet
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2024 - 2025
Instruction Method
Synchronous Online
Start Date
Monday, June 10, 2024
End Date
Friday, June 14, 2024
Class Time(s)
M, Tu, W, Th, F, 1:30 - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Xiangrong Kong
Contact Name
Ayesha Khan
Frequency Schedule
Every Year
Description
Introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Introduces parametric inferences using the exponential and Weibull distributions. 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. Uses SAS and Stata software for computation. Offers a choice in software based on their own preference when doing exercises. Includes the following topics: censoring, truncation, hazard and survival functions, Kaplan-Meier estimator, log-rank tests, Cox proportional hazards model
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
Methods of Assessment
This course is evaluated as follows:
  • 20% Homework
  • 20% Homework
  • 20% Homework
  • 20% Homework
  • 20% Final Exam
Instructor Consent
No consent required
Special Comments

Course will be taught online via Zoom, on the dates and times the course is scheduled. For further information, please see the Institute website jhsph.edu/summerepi