A New Approach for Sampling Ordered Parameters in Probabilistic Sensitivity Analysis.

ABSTRACT:

Background

Probabilistic sensitivity analysis (PSA) in cost-effectiveness analysis involves sampling a large number of realisations of an economic model. For some parameters, we may be uncertain around the true mean values of the variables, but the ordering of the values is known. Typical sampling approaches lack either statistical or clinical validity. For example, sampling using a common number generator results in extreme dependence, and independent sampling can lead to realisations with incorrect ordering.

Methods

We propose a new sampling approach for ordered parameters, the difference method (DM) approach, which samples the parameters of interest via a difference parameter. If the parameters of interest are bounded, it involves transforming the variables so that they a

SUBMITTER: Ren S 

PROVIDER: S-EPMC5834610 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature