A Bivariate Mover-Stayer Model for Interval-Censored Recurrent Event Data: Application to Joint Damage in Rheumatology

• Activity Number: 343
• Type: Contributed
• Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
• Sponsor: ENAR
• Author(s): Rinku Sutradhar*+
• Companies: Institute for Clinical Evaluative Sciences
• Keywords: Heterogeneity ; Association ; Inetrval censoring ; Joint damage ; Non-susceptible fraction

Abstract

Interval-censored recurrent event data can exhibit considerable between subject heterogeneity in the event rate, and frequently there is a proportion of individuals experiencing no events. We consider a likelihood based analysis of bivariate interval-censored recurrent event data in which a random effect is used to accommodate heterogeneity in the rate of events, and bivariate mover-stayer indicators are introduced to accommodate a nonsusceptible sub-population for each type of event. The motivating data arises from a study on joint damage in patients with psoriatic arthritis. For every patient, each joint is assessed for damage using both clinical and radiological measures over the duration of follow-up. The proposed model facilitates estimation of the joint distribution of the mover-stayer indicators for both clinical and radiological joint damage.