DATA596

Survival analysis methods consist of statistical modeling techniques that predict the time to an event. The event of interest often depends on the application area. Survival analysis techniques have been used in a wide variety of areas-medical professionals working to predict the onset of a disease; HR representatives studying trends in workforce attrition; mechanical engineers investigating reliability of post-released products; and many other applications. In this course, students will be exposed to practice survival analysis techniques through exploration of real data sets. Students can expect to develop a deeper understanding of concepts including: observation censoring, accelerated life testing and experimental design, recurrence analysis, and implementation of survival analysis techniques in statistical software as well as communicating statistical results to different audiences.

School of Computing and Information Sciences

Portland, Salem