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Applying Survival Analysis for Business Time-to-Event Problems

Business Knowledge Series course

This course is not currently scheduled.

Duration: 2.0 days
Course fee:
EPTO units: .
CEUs: 1.2

Presented by Michael J. A. Berry or Gordon S. Linoff, founders of Data Miners, Inc. and co-authors of Data Mining Techniques and Mastering Data Mining

This course introduces survival analysis in the context of business data mining. The focus is on understanding customer behaviors that have a time-to-event component.

Learn how to

Who should attend

Business analysts and managers, programmers, and statisticians

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Prerequisites
There are no formal prerequisites. A background in business analysis, statistics, or mathematics is helpful but is not essential. The class exercises utilize SAS Enterprise Guide and some programming code is shown. Familiarity with SAS Enterprise Guide or with SAS programming is not required.
Course Contents
Introduction
  • course introduction
  • history and background of survival analysis
Tools and Data
  • visualizing survival
  • introduction to data sets used in the class
  • introduction to SAS Enterprise Guide
Understanding the World by Counting
Point Estimation of Hazards
  • why empirical hazards
  • visualizing the hazard calculation
  • the hazard calculation
  • defining the start and the stop
  • censoring
Estimating Survival
  • tracking survival from one day of starts
  • calculating and visualizing survival for all customers
  • averaging hazards
  • retention versus survival
  • quantifying survival
The Role of Covariates
  • introduction to covariates
  • stratification for time-zero covariates
  • Cox proportional hazards regression
  • time-zero covariates whose effects change
  • creating the right covariates
Competing Risks
  • risks compete for customers
  • conditional hazards and conditional survival
Left Truncation
  • defining left truncation
  • fixing left truncation by filtering
  • fixing left truncation with time windows
Time Windows
  • overview
  • changes in survival over time
  • seasonal effects and policy changes
Scoring Survival Models and Forecasting
  • scoring survival models
  • forecasting for new starts
  • forecasting for existing customers
  • forecasting all customers
Time-Varying Covariates
  • time-varying versus time-zero covariates
  • the cohort approach
  • direct hazard estimation for one-time events
  • the Cox proportional hazards approach
Repeating Events
  • representing repeating events
  • modeling the time to next event
  • modeling time to nth event
Beyond Empirical Hazards
  • fully parametric models
  • semi-parametric models
  • flexible hazard models
Software
This course addresses SAS Enterprise Guide.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

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Course fee and EPTO units will differ for on-site training.

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