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Overview


Tutorials are not included in the meeting registration and require a separate registration fee

Tutorial Registration: 7:30AM-8:30AM


Recurrent events are repeated occurrences of the same type of event over time and are often encountered in clinical trials. Examples include relapses in multiple sclerosis and heart failure hospitalizations in chronic heart failure patients. In such studies, interest usually lies in understanding the underlying recurrent event process and how this is impacted by explanatory variables such as treatment. This includes the investigation of the rate at which events occur and the inter-individual variation.

In this tutorial, we will review the objectives and challenges of recurrent event data approaches. Different statistical methods and modelling approaches including parametric and semi-parametric models will be discussed. We will illustrate the approaches with case studies, discuss own experiences and provide SAS code snippets.

Who should attend?

All statisticians with interest in the design and analysis of clinical trials with recurrent event endpoints.

Learning objectives

Upon completion of this course, the participants should be able to:

  • Discuss objectives, advantages and limitations of recurrent event endpoints and approaches
  • Apply appropriate statistical methods and modelling approaches to recurrent event endpoints
  • Interpret the results based on different approaches

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