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.

• 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

Formats available	Duration
Classroom:	2 days
Live Web Classroom:	4 half-day session(s)	System Requirements
e-Learning:	14 hours/180 day license	System Requirements

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 Statistics 2: ANOVA and Regression course.

This course addresses SAS/STAT software.

This course is offered on the Windows platform only.

• Survival analysis concepts.
• Exploratory data analysis using survival curves.

• Introduction to the Cox proportional hazards model.
• Model assessment.
• Models with nonproportional hazards.
• Model building and subset selection.

• Time-dependent covariates.
• Repeated events.