|Dr. Shijie Ren|
Dr. Shijie Ren (also known as Kate Ren) has recently published a paper with some colleagues from HEDS and the University of Glasgow proposing a new method of sampling ordered parameters for use in cost-effectiveness analysis. Their new approach, known as the difference method (DM), is designed to address the difficulties of sampling parameters with a constraint in probabilistic sensitivity analysis, e.g., sampling utility associated with different severity levels of a disease.
Dr. Ren, who specialises in the application of Bayesian methods in health economics, argues that “Typical sampling approaches often 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.”
The DM approach uses a “difference parameter” to sample the parameters of interest; a method which generates ordered parameters with greater validity for use in probabilistic sensitivity analysis.
The article, published in Pharmacoeconomics, is available open-access and can be found (along with a Microsoft Excel workbook to implement the method) at http://dx.doi.org/10.1007/s40273-017-0584-3