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
Course Outline
Introduction to Survival Analysis
Survival analysis concepts. Exploratory data analysis using survival curves.Proportional Hazards ModelIntroduction to the Cox proportional hazards model. Model assessment.Models with nonproportional hazards. Model building and subset selection.Advanced TopicsTime-dependent covariates. Repeated events.
Live Instructor Dates