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Activity Number: 499
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #316055 View Presentation
Title: Analyzing Recurrent Breast Implant--Associated Anaplastic Large-Cell Lymphoma with Informative Censoring Using a Joint Frailty Model
Author(s): Jun Liu* and Jing Ning and Roberto Miranda and Mark Warren Clemens
Companies: MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center and MD Anderson Cancer Center
Keywords: Recurrent event data ; informative censoring ; joint frailty model
Abstract:

Breast implant-associated anaplastic large-cell lymphoma (ALCL) is a rare type of lymphoma and the first case was described in 1997. Since this lymphoma is recently recognized, the diagnosis is frequently missed as a lymphoma or confounded as a systemic ALCL, thus patients receive a variety of therapies that often lead to repeated disease relapse or progression of disease to a more aggressive lymphoma. Our study followed up 87 cases longitudinally and collected both the recurrent events and the survival data. When analyzing the recurrent event data, the assumption of a non-informative censoring is often required. However, this non-informative censoring assumption is violated in our study since the survival time is believed to be correlated with the repeated disease relapse. Considering such an informative censoring, we use a joint frailty model to estimate the effects of clinical factors and treatments on the recurrent disease relapse and survival simultaneously.


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