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Survival Data Mining: A Programming Approach

  • Tuition USD $1,800 GSA  $1,496.22
  • Reviews star_rate star_rate star_rate star_rate star_half 3223 Ratings
  • Course Code BMCE42
  • Duration 2 days
  • Available Formats Classroom
This advanced course discusses predictive hazard modeling for customer history data. Designed for data analysts, the course uses SAS/STAT software to illustrate various survival data mining methods and their practical implementation.

Note: Formerly titled Survival Data Mining: Predictive Hazard Modeling for Customer History Data, this course now includes hands-on exercises so that you can practice the techniques that you learn. Other additions include a chapter on recurrent events, new features in SAS/STAT software, and an expanded section that compares discrete time approach versus the continuous time models such as Cox Proportional Hazards models and fully parametric models such as Weibull.

Skills Gained

  • build models for time-dependent outcomes derived from customer event histories
  • account for competing risks, time-dependent covariates, right censoring, and left truncation
  • handle large data sets
  • compute the expected value of the remaining time until an event
  • evaluate the predictive performance of the model.

Who Can Benefit

  • Predictive modelers, data analysts, statisticians, econometricians, model validators, and data scientists

Prerequisites

  • Before attending this course, you should
  • have a basic understanding of survival analysis
  • have experience with predictive modeling, particularly with logistic regression
  • be familiar with statistical concepts such as random variables, probability distributions, and parameter estimation
  • be familiar with SQL (including topics such as sub-queries and left-joining)
  • have SAS programming proficiency.

Course Details

Survival Data Mining

  • introduction to survival data mining
  • elements of survival analysis
  • time-dependent covariates

Survival Models (Self-Study)

  • semi-parametric survival models
  • parametric survival models
  • discrete-time survival models

Flexible Hazard Modeling

  • building discrete time hazard models
  • grouped expanded data

Hazard Modeling with Big Data

  • outcome-dependent sampling
  • data truncation
  • piecewise constant hazards (self-study)

Predictive Performance

  • predictive scoring
  • empirical validation

Recurrent Events

  • introduction to recurrent events

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

The software installation instructions needs to be more clear. We spent a lot time on installing and setting up the environment.

The course was very thorough and the instructor ensured that all the students were on the same page.

This was my first experience with tech data, but I was very impressed and appreciative of the course and the material presented. The instructor, Mark, really knew his stuff and presented it very well.

For my first virtual training with Learning Tree, after the 2nd lab exercises, I was able to keep up.

Content is consistent with the class you enroll in. Instructor was thorough and engaging.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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