Recurrent event data arise when the event of interest can recur in the same individual during follow-up. Some examples of recurrent events include sequences of hospital admissions, infection episodes, and tumor recurrences. Standard survival analysis methods that focus only on time to the first event cannot capture the cumulative experience of the recurrent events and could lead to invalid inferences. For this reason, the development of statistical methods that appropriately address the structure of recurrent events has attracted considerable attention. This short course introduces the R package reReg, which provides a collection of tools for exploratory analysis and nonparametric and semiparametric methods for analyzing recurrent event data.
May 31, 2021 - May 31, 2021
Virtual, Online
Not Sponsored
- About
- News
- Membership
- Publications
- IMS Journals and Publications
- IMS Co-Sponsored Journals and Publications
- IMS Supported Journals
- IMS Affiliated Journals
- Electronic Access
- Journal Alerts
- Subscriptions and Orders
- Back Issues
- Article Reprints
- Acceptance of Papers
- Awards
- Memorials
- Meetings
- Resources
- Leadership
- Contacts
Cart