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. The structure of this courses allows for a personalized learning experience through a combination of instructor-led class time and structured self-study. The course consists of classroom instruction, digital course notes, case studies with solutions, virtual lab with software for practice, and a half-day Live Web session to discuss questions about the material during the course.
one day in class to cover key topics
case studies with solutions posted online
half-day Live Web review session
access to a SAS instructor for questions
online forum for support.
build models for time-dependent outcomes derived from customer event histories
account for competing risks, time-dependent covariates, censoring, and truncation
use techniques to model current status data and to evaluate the predictive performance of the model.
Who Can Benefit
Predictive modelers, data analysts, statisticians, econometricians, model validators, and data scientists
Before attending this course, you should
have experience with predictive modeling, particularly with logistic regression
be familiar with statistical concepts such as random variables, probability distributions, and parameter estimation
be comfortable working with summation notation, vectors, matrices, and analytic geometry
have SAS programming proficiency.
time-dependent outcomes derived from customer event histories
features of the event-time distribution such as competing risks, time-dependent covariates, censoring, and truncation
basic nonparametric estimation of the hazard and distribution functions
Flexible Parametric Hazard Models
multinomial logistic regression for right censored data
https://www.exitcertified.com/training/sas/advanced-analytics/sas-data-mining/-52888-detail.htmlFBMCESurvival Data Mining: A Programming Approachhttps://assets.exitcertified.com/assets/CourseImages/c7140964c1/AdobeStock_136168319__FitMaxWzEwMDAsMTAwMF0.jpg1200.00USDInStock/Training/SAS/Advanced Analytics/Data Mining This advanced course discusses predictive hazard modeling for customer history data. Designed for data analysts, the course uses...1200.00SASClassroom2017-03-31T21:22:50+00:00USD