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Activity Number: 479 - Survival Analysis II
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #328509 Presentation
Title: Semiparametric Estimation of the Cure Fraction in Population-Based Cancer Survival Analysis
Author(s): Ennan Gu* and Jiajia Zhang
Companies: University of South Carolina and University of South Carolina
Keywords: semiparametric; cure fraction estimate; mixture cure model; population-based study; EM algorithm

In population-based studies, cured patients is defined as when the mortality rate of the individuals in diseased group returns to the same level as that expected in the general population. The population level mortality can be presented by the known background mortality rate with specified subgroups of interest, such as mortality rate by gender and age in the United States. The background mortality can be incorporated into the mixture cure proportional hazard (MCPH) model to provide estimations of the cure fraction in population-based cancer studies. The semiparametric estimation method based on the EM algorithm for the MCPH model with background mortality is further developed. The proposed method is validated via the comprehensive simulation studies and illustrated via a real data set.

Authors who are presenting talks have a * after their name.

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