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
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
Introduction to Survival Analysis
Survival analysis concepts.
Exploratory data analysis using survival curves.
Proportional Hazards Model
Introduction to the Cox proportional hazards model.
Models with nonproportional hazards.
Model building and subset selection.
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.