Implementing Generalized Additive Models to Estimate the ExpectedValue of Sample Information in a Microsimulation Model: Results of Three CaseStudies

摘要

BackgroundThe expected value of sample information (EVSI) can help prioritize research, but its application is hampered by computational infeasibility, especially for complex models. We investigated an approach by Strong and colleagues to estimate EVSI by applying generalized additive models (GAM) to results generated from a probabilistic sensitivity analysis (PSA).