Redefining Health Economics: How it Can Contribute to Better Healthcare Systems?
Researchjournali’s Journal of Economics Vol. 4 | No. 1 January | 2016 ISSN 2347-8233
12 Pages Posted: 8 Feb 2016
Date Written: January 31, 2016
Health Economics involves quantitative and qualitative methods and assimilates concepts and analytical structures deriving from different disciplines suggesting neural network synaptic connections, algorithms and learning rules. A transdisciplinary analytical perspective and a multidisciplinary execution should converge on transparency, systematizing use of evidence supporting the decision process.
Activity in (HTA) and (HEOR) increased attention on theoretical instruments designed for academic debates, instead of evidence from molecular biology, applied research medicine and robust statistical instruments. The work proposes a constructive synthetic review of differences of Classical and Bayesian statistics applied to Clinical trials.
Statistical methods are better than human intuitive rules of thumb; however misuse of statistics produces errors in design and interpretation of trials, health policies and medical practice. Some literature recommends paths for improvement however it remarks that better powered evidence will require a change in scientific mentality that might be difficult to achieve.
Keywords: Health Economics, neural network, transdisciplinary analytical perspective, multidisciplinary execution, Clinical trials, Classical and Bayesian inferential Statistics, p value
JEL Classification: I1, I11
Suggested Citation: Suggested Citation