Survival Analysis Using the Proportional Hazards Model

Duration: 14 hours

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

Prerequisites

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.

SAS Products Covered

SAS/STAT;SAS/GRAPH

Course Outline

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

Time-dependent covariates.

Repeated events.

The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.