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Research Article

A population model of prostate cancer incidence

  1. A. Tsodikov1,*,
  2. A. Szabo2,
  3. J. Wegelin1

Article first published online: 5 JAN 2006

DOI: 10.1002/sim.2257

Issue

Statistics in Medicine

Statistics in Medicine

Volume 25, Issue 16, pages 2846–2866, 30 August 2006

Additional Information

How to Cite

Tsodikov, A., Szabo, A. and Wegelin, J. (2006), A population model of prostate cancer incidence. Statist. Med., 25: 2846–2866. doi: 10.1002/sim.2257

Author Information

  1. 1

    Department of Public Health Sciences, Division of Biostatistics, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.

  2. 2

    Huntsman Cancer Institute at the University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112, U.S.A.

*Department of Public Health Sciences, Division of Biostatistics, University of California Davis, One Shields Avenue, Davis, CA 95616, U.S.A.

Publication History

  1. Issue published online: 13 JUL 2006
  2. Article first published online: 5 JAN 2006
  3. Manuscript Accepted: 1 APR 2005
  4. Manuscript Received: 20 OCT 2004

Funded by

  • National Cancer Institute Cancer Intervention and Surveillance Modelling Network. Grant Number: U01 CA97414
  • Department of Defense. Grant Number: DAMD 7-03-1-0034

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Keywords:

  • screening;
  • mixture models;
  • prostate cancer

Abstract

Introduction of screening for prostate cancer using the prostate-specific antigen (PSA) marker of the disease led to remarkable dynamics of the incidence of the disease observed in the last two decades. A statistical model is used to provide a link between dissemination of PSA and the observed transient population responses. The model is used to estimate lead time, overdiagnosis and other relevant characteristics of prostate cancer screening. Copyright © 2006 John Wiley & Sons, Ltd.

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