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Time to Event Data Analysis

Course Length - 1 Day

This course is an introduction into time to event analysis. The course covers all you need to know to get a basic understanding of semi-parametric time to event analysis methods. After the course, attendees will be able to analyse and interpret time to event data such as modelling disease recurrence and customer retention.

 

Audience

This course introduces statisticians, analysts and health practitioners in the application of customer retention and survival analysis using SAS Software.



Prerequisites

Attendees must have a basic knowledge of statistical concepts, such as p-values and confidence intervals. Attendees must be familiar with the SAS programming language to at least Fundamental level.

Topics

TE1 Introduction

  • What is Survival Analysis?
  • Censoring

TE2 Exploratory Data Analysis

  • Introduction
  • Kaplan Meier Curves
  • Hazard Function
  • Comparing Survival Functions
  • Multiple Comparisons Tests
  • Stratified Tests

TE3 Cox Proportional Hazards Model

  • Introduction to Cox Proportional Hazards Model
  • Hazard Ratio
  • Cox Proportional Hazards Model
  • Tied Event Times
  • Model Building

TE4 Model Assessment

  • Cox Proportional Hazards Model Assumptions
  • Outliers and Influential Observations

TE5 Non-Proportional Hazards Model

  • Introduction
  • Stratified Cox Model
  • Cox Model Including Time Interactions

TE6 Using SAS Enterprise Guide Software (Reference)

  • Introduction to SAS Enterprise Guide
  • What is SAS Enterprise Guide?
  • Introduction to the Environment
  • Life Tables Task
  • Proportional Hazard Task