Simulation optimization of PSA-threshold based prostate cancer screening policies.

Published

Journal Article

We describe a simulation optimization method to design PSA screening policies based on expected quality adjusted life years (QALYs). Our method integrates a simulation model in a genetic algorithm which uses a probabilistic method for selection of the best policy. We present computational results about the efficiency of our algorithm. The best policy generated by our algorithm is compared to previously recommended screening policies. Using the policies determined by our model, we present evidence that patients should be screened more aggressively but for a shorter length of time than previously published guidelines recommended.

Full Text

Duke Authors

Cited Authors

  • Underwood, DJ; Zhang, J; Denton, BT; Shah, ND; Inman, BA

Published Date

  • December 2012

Published In

Volume / Issue

  • 15 / 4

Start / End Page

  • 293 - 309

PubMed ID

  • 22302420

Pubmed Central ID

  • 22302420

International Standard Serial Number (ISSN)

  • 1386-9620

Digital Object Identifier (DOI)

  • 10.1007/s10729-012-9195-x

Language

  • eng

Conference Location

  • Netherlands