Implementing Generalized Additive Models to Estimate the Expected Value of Sample Information in a Microsimulation Model: Results of Three Case Studies.
Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA (DJR, RAP).
Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA (PPP, RPW, AZ, RAP).
Harvard Medical School, Boston, MA, USA (RPW, RAP).
Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA (RPW).
Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA, USA (RPW).
- Published Article
Medical decision making : an international journal of the Society for Medical Decision Making
- Publication Date
Nov 01, 2017
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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This record was last updated on 06/09/2018 and may not reflect the most current and accurate biomedical/scientific data available from NLM.
The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/29117791