JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 390
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #306502
Title: Extension of Cure Rate Model When Cure Is Partially Known
Author(s): Yu Wu*+ and Yong Lin and Shou-En Lu and Weichung Joe Shih
Companies: K&L Consulting Services, Inc. and University of Medicine and Dentistry of New Jersey and University of Medicine and Dentistry of New Jersey and University of Medicine and Dentistry of New Jersey
Address: 4 Fox Hill Rd, Edison, NJ, 08820, United States

When there is evidence of long term survivors, cure rate models have been used by researchers to model the tail behavior of the survival curve. Mixture models were traditionally used, and different parameter estimation approaches for parametric and semi-parametric models have been suggested. A common aspect of the traditional cure rate models is that they implicitly assume there is no additional information about the status of cure, thus the indicator of cure has been modeled as latent variable. This assumption is not entirely valid in many cases, when some diagnostic procedure can provide information about the status of cure. This presentation proposes a novel extension to incorporate the additional information about status of cure in the cure rate models. It also shows that, with this additional information, more efficient estimator can be obtained. The efficiency gain increases with better sensitivity and specificity of the diagnostic procedure. The efficiency gain is larger when the censoring rate is high. This extension can be applied when the latency part is modeled parametrically, semi-parametrically, or non-parametrically. Both proportional hazards (PH) cure rat

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.