OSCTR is proud to sponsor the Random Effects and Recurrent Events in Survival Analysis Virtual Short Course led by Dr. Milind Phadnis from the University of Kansas Medical Center!
7/17/2026 8:00 AM - 12:00 PM (CDT)
Virtual through Zoom Only
Registration Link (Registration deadline is )
Course Description
A key feature of time-to-event data is the presence of censored/truncated observations and standard methods of analyzing such data are covered in introductory statistics courses. However, methods for analyzing recurrent events, some of which may be censored, are often not covered in introductory classes. Likewise, random effects are well-studied when modeling continuous or dichotomous outcomes with many books/resources available. But when analyzing time-to-event outcomes, incorporating recurrent events is challenging beyond the use of few basic models. Theory is well developed, however, there is a need to adapt the myriad methods available in literature to real life applications. As the field of Biostatistics & Data Science advances, recurrent events and clustered survival data are increasingly seen in practice. As understanding theory is onerous, many practicing statisticians are tempted to fit only the very basic models to such data often ignoring the rich possibilities of more advanced models.
This course provides an opportunity to learn about advanced modeling for such data keeping mind the underlying assumptions of the models. Real life examples will be covered using R/SAS software and more advanced models will be discussed. The course will be taught at an Applied level with minimal theory.
Registration Fee
OCASA Member:
Student: $15 / Non-student: $55
OCASA Non-Member:
Student: $30 / Non-student $80