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Activity Number: 431
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #319651
Title: Competing Risks Model of Cancer Screening and Symptomatic Diagnosis
Author(s): Sheng Qiu* and Alex Tsodikov
Companies: and University of Michigan
Keywords: PSA ; competing risks ; cancer screening ; latent process

Introduction of screening for prostate cancer using the prostate-specific antigen (PSA) marker of the disease around 1989 led to remarkable dynamics of the incidence of the disease analyzed using cancer registry data. A competing risks model for cancer screening diagnosis and diagnosis due to symptoms (clinical) is developed. The risks are driven by a latent indicator process modeling tumor onset. Intensity of screening and hazard driving prostate cancer clinical diagnosis in the absence of screening are estimated jointly using semiparametric estimating equations and the NPMLE method. Asymptotic properties of the proposed estimators are established. The methodology is illustrated by simulation studies and applications using data from European and US cancer registries (EUREG and SEER).

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

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