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Survival Analysis

Description:

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

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