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Survival Analysis Using the Proportional Hazards Model

Course Details
Code: SURV41
Tuition (USD): $1,600.00 • Classroom (2 days)
$1,600.00 • Virtual (2 days)
Course Details
GSA (USD): $1,450.88 • Classroom (2 days)
$1,450.88 • Virtual (2 days)

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.

Skills Gained

  • 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 Can Benefit

  • 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(R) Programming II: Manipulating Data with the DATA Step course.
  • have completed a statistics course such as the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression or the Statistics II: ANOVA and Regression courses.

Course Details

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
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