A Computationally Efficient Method for Probabilistic Parameter Threshold Analysis for Health Economic Evaluations.

ABSTRACT: Background. Threshold analysis is used to determine the threshold value of an input parameter at which a health care strategy becomes cost-effective. Typically, it is performed in a deterministic manner, in which inputs are varied one at a time while the remaining inputs are each fixed at their mean value. This approach will result in incorrect threshold values if the cost-effectiveness model is nonlinear or if inputs are correlated. Objective. To propose a probabilistic method for performing threshold analysis, which accounts for the joint uncertainty in all input parameters and makes no assumption about the linearity of the cost-effectiveness model. Methods. Three methods are compared: 1) deterministic threshold analysis (DTA); 2) a 2-level Monte Carlo approach, whic

SUBMITTER: Pieters Z 

PROVIDER: S-EPMC7401185 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature