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Comparing cross-sectional stepped-wedge and cluster randomized trials with time-to-event endpoints

Abstract Number:

3021 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Paper 

Participants:

Mary Ryan (1)

Institutions:

(1) University of Wisconsin-Madison, Madison, WI

First Author:

Mary Ryan  
University of Wisconsin-Madison

Presenting Author:

Mary Ryan  
University of Wisconsin-Madison

Abstract Text:

Stepped wedge cluster randomized trials (SW-CRTs) are a form of trial whereby clusters are progressively transitioned from control to intervention, and the timing of transition is randomized for each cluster. SW-CRTs can be attractive when it is difficult to simultaneously implement the intervention in an adequate number of clusters to facilitate a parallel design; however, they pose their own logistical and analytic challenges that may make a traditional cluster randomized trial (CRT) a more feasible option. It is not always clear which design is better suited. In addition, SW-CRTs with continuous or binary endpoints often have larger power compared to parallel CRTs; it is unclear whether this observation holds with time-to-event endpoints, where pragmatic trial interest is growing. In this talk, we will compare the operating characteristics of cross-sectional parallel CRTs and SW-CRTs with time-to-event endpoints, testing either cluster- or individual-level interventions. We will also explore two paradigms of cross-sectionality for SW-CRTs: events that may be observed beyond the period of study entry, and events that are administratively censored at the end of a period.

Keywords:

pragmatic trial|intracluster correlation|trial design|design choice|clustering|

Sponsors:

Biometrics Section

Tracks:

Longitudinal/Correlated Data

Can this be considered for alternate subtype?

Yes

Are you interested in volunteering to serve as a session chair?

Yes

I have read and understand that JSM participants must abide by the Participant Guidelines.

Yes

I understand that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is non-refundable.

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