Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.

Journal: Medical decision making : an international journal of the Society for Medical Decision Making
PMID: 38858832

Abstract

PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally validate the model-predicted outcomes to calibration targets.

Authors

  • Carlos Pineda-Antunez
    The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA, USA.
  • Claudia Seguin
    Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
  • Luuk A van Duuren
    Department of Public Health, Erasmus MC Medical Center, Rotterdam, The Netherlands.
  • Amy B Knudsen
    Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
  • Barak Davidi
    Institute for Technology Assessment, Massachusetts General Hospital, Boston, MA, USA.
  • Pedro Nascimento de Lima
    RAND Corporation, Arlington, VA, USA.
  • Carolyn Rutter
    Fred Hutchinson Cancer Research Center, Hutchinson Institute for Cancer Outcomes Research, Biostatistics Program, Public Health Sciences Division, Seattle, WA, USA.
  • Karen M Kuntz
    Division of Health Policy & Management, University of Minnesota School of Public Health, Minneapolis, MN, USA.
  • Iris Lansdorp-Vogelaar
    Department of Public Health, Erasmus MC Medical Center, Rotterdam, The Netherlands.
  • Nicholson Collier
    Decision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.
  • Jonathan Ozik
    Decision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.
  • Fernando Alarid-Escudero
    Department of Health Policy, School of Medicine, Stanford University, CA, USA.

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