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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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STAT 668 - Survival Analysis

Credits: 3
Not Repeatable for Credit
Offered by Statistics

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.

Prerequisite(s): B- or higher in STAT 544, STAT 554, and working knowledge of R and SAS.
Prerequisite(s) enforced by registration system.

Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Alternate Fall

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STAT 668 - Survival Analysis