Detail kurzu

Survival Data Mining: A Programming Approach

EDU Trainings s.r.o.

Popis kurzu

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.

Obsah kurzu

Survival Data Miningintroduction to survival data miningelements of survival analysistime-dependent covariatesSurvival Models (Self-Study)semi-parametric survival modelsparametric survival modelsdiscrete-time survival modelsFlexible Hazard Modelingbuilding discrete time hazard modelsgrouped expanded dataHazard Modeling with Big Dataoutcome-dependent samplingdata truncationpiecewise constant hazards (self-study)Predictive Performancepredictive scoringempirical validationRecurrent Eventsintroduction to recurrent events

Cílová skupina

Predictive modelers, data analysts, statisticians, econometricians, model validators, and data scientists
Certifikát Na dotaz.
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