George Mason University
George Mason University Mason
George Mason University

STAT 668: Survival Analysis

Course Information from University Catalog

Not Repeatable

Survival Analysis is a class of statistical methods for studying the occurrence and timing of events. In medical research, the events may be deaths, and the objective is to determine factors affecting survival times of patients following treatment, usually in the setting of clinical trials. Methods can also be applied to the social and natural sciences and engineering where they are known by other names (reliability, event history analysis). Concepts of censored data, time-dependent variables, and survivor and hazard functions are central. Nonparametric methods for comparing two or more groups of survival data are studied. The Cox regression model (proportional hazards model), Weibull model, and the accelerated failure time model are studied in detail. Concepts are applied to analysis of real data from major medical studies using SAS software.

When Offered: Alternate Fall

Hours of Lecture or Seminar per week: 3

Credits: 3


STAT 544, STAT 554, and working knowledge of R and SAS.

1 Course Sections Scheduled for Fall 2017