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Health Care Management Science

, Volume 16, Issue 4, pp 377–378 | Cite as

Note on “Simulation optimization of PSA-threshold based prostate cancer screening policies”

  • Daniel J. UnderwoodEmail author
  • Jingyu Zhang
  • Brian T. Denton
  • Nilay D. Shah
  • Brant A. Inman
Article
  • 224 Downloads

Keywords

Prostate Cancer Genetic Algorithm Corrected Result Processing Error Annual Screening 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Ross KS, Carter HB, Pearson JD, Guess HA (2000) Comparative efficiency of prostate-specific antigen screening strategies for prostate cancer detection. J Am Med Assoc 284(11):1399–1405CrossRefGoogle Scholar
  2. 2.
    Underwood DJ, Zhang J, Denton BT, Shah ND, Inman BA (2012) Simulation optimization of PSA-threshold based prostate cancer screening policies. Health Care Manag Sci 15(4):1–17CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Daniel J. Underwood
    • 1
    Email author
  • Jingyu Zhang
    • 2
  • Brian T. Denton
    • 3
  • Nilay D. Shah
    • 4
  • Brant A. Inman
    • 5
  1. 1.Edward P. Fitts Department of Industrial & Systems EngineeringNorth Carolina State UniversityRaleighUSA
  2. 2.Philips Research North AmericaBriarcliff ManorUSA
  3. 3.Department of Industrial and Operations EngineeringUniversity of MichiganAnn ArborUSA
  4. 4.Division of Health Care Policy and ResearchMayo ClinicRochesterUSA
  5. 5.Division of UrologyDuke University Medical CenterDurhamUSA

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