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Implementing Generalized Additive Models to Estimate the Expected Value of Sample Information in a Microsimulation Model: Results of Three Case Studies.

Authors
  • Rabideau, Dustin J1, 2, 3, 4, 5
  • Pei, Pamela P1, 2, 3, 4, 5
  • Walensky, Rochelle P1, 2, 3, 4, 5
  • Zheng, Amy1, 2, 3, 4, 5
  • Parker, Robert A1, 2, 3, 4, 5
  • 1 Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA (DJR, RAP).
  • 2 Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA (PPP, RPW, AZ, RAP).
  • 3 Harvard Medical School, Boston, MA, USA (RPW, RAP).
  • 4 Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA (RPW).
  • 5 Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA, USA (RPW).
Type
Published Article
Journal
Medical decision making : an international journal of the Society for Medical Decision Making
Publication Date
Nov 01, 2017
Identifiers
DOI: 10.1177/0272989X17732973
PMID: 29117791
Source
Medline
Keywords
License
Unknown

Abstract

Estimating EVSI using the GAM approach with results from a PSA dramatically reduced the time required to conduct a computationally intense project, which would otherwise have been impractical. Using the GAM approach, we can efficiently provide policy makers with EVSI estimates, even for complex patient-level microsimulation models.

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