This course discusses survival analysis concepts with an emphasis on health care problems. The course focuses on the Cox proportional hazards model, not the parametric models, and is not designed for predictive modelers.

Learn how to

• perform exploratory data analysis using ODS Statistical Graphics
• fit the proportional hazards model
• assess the fit of the model
• fit Cox proportional hazards models for repeated events and clustered observations.

Who should attend

Biostatisticians, epidemiologists, social scientists, and physical scientists

Formats available	Duration
Classroom:	2.0 days
Live Web Classroom (offered in English):	4 half-day session(s)

Before attending this course, you should

• be able to create SAS data sets and manipulate data. You can gain this experience from the SAS Programming 2: Data Manipulation Techniques course.
• have completed a statistics course such as the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression or the Statistics 2: ANOVA and Regression courses.

This course addresses SAS/STAT software.

This course is offered on the Windows platform only.

Introduction to Survival Analysis

• survival analysis concepts
• exploratory data analysis using survival curves

Proportional Hazards Model

• introduction to the Cox proportional hazards model
• model assessment
• models with nonproportional hazards
• model building and subset selection

Advanced Topics

• working with time-dependent covariates
• fitting Cox proportional hazards models for repeated events