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Graduate Summer Institute of Epidemiology and Biostatistics

Survival Analysis

June 29 - July 3, 2015
1:30 p.m. – 5:00 p.m.
2 credits

Course Number: 140.606.11

Course Instructor:

· Xiangrong Kong


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.

Student Evaluation:

Method of student evaluation based on problem sets and an exam

 

Learning Objective:

The course will introduce fundamental concepts in survival analysis. The emphasis is on 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.

Location: Baltimore

Class Times:

Prerequisite:

Grading Restriction: Letter Grade or Pass/Fail

Auditors Allowed: No

Course Materials: