Epidemiology, health policy and outcomes
Carolina Alvarez, MS
University of North Carolina at Chapel Hill
Miami, FL, United States
Disclosure(s): No financial relationships with ineligible companies to disclose
Todd Schwartz, DrPH
University of North Carolina-Chapel Hill
Chapel Hill, NC, United States
Disclosure(s): No financial relationships with ineligible companies to disclose
This session is intended to provide an overview of time appropriate to event data as well as statistical methods for analyzing these data. In this session, we will describe the salient features of time-to-event data, including censoring, and we will tailor the session to be relevant for our audience through extensive use of examples from the field of rheumatology. While we will include results using time-to-event data from the Johnston County Osteoarthritis Project (JOCO OA) on which we have worked, we will place particular emphasis on the interpretation of these results. Specifically, this will be accomplished through presenting results in accepted abstracts or published in peer-reviewed journals, which will allow our audience to understand the direct connection between the methods and the interpretations that may matter most to clinical researchers. Considerations regarding statistical software will be touched upon, though the session is intended to be independent of any particular statistical software package. This session should prove helpful in educating clinical researchers on the use of these methods, as well as allowing for enhanced collaboration with statisticians, epidemiologists, and other members of their research teams.
Speaker: Todd Schwartz, DrPH – University of North Carolina-Chapel Hill
Speaker: Carolina Alvarez, MS – University of North Carolina at Chapel Hill