The increasing burden on the financial budgets of healthcare providers worldwide has emphasised the need to use healthcare resources as efficiently as possible. Healthcare economic evaluation has gained popularity in the last 20 years as a key tool to generate the information required by policy makers to achieve their goal. This chapter describes the statistical issues associated with the conduct of healthcare economic evaluation studies, considering both the analysis based on a single trial and the use of Bayesian comprehensive decision analytic models. Further issues such as the role of probabilistic sensitivity analysis and Bayesian evidence synthesis are also presented.
Conigliani, C., Manca, A., Tancredi, A. (2012). Statistical methods for health care economic evaluation. In Statistical Methods in Healthcare. F Faltin, R Kenett, F Ruggeri (Editors). Wiley.
Statistical methods for health care economic evaluation
CONIGLIANI, CATERINA;
2012-01-01
Abstract
The increasing burden on the financial budgets of healthcare providers worldwide has emphasised the need to use healthcare resources as efficiently as possible. Healthcare economic evaluation has gained popularity in the last 20 years as a key tool to generate the information required by policy makers to achieve their goal. This chapter describes the statistical issues associated with the conduct of healthcare economic evaluation studies, considering both the analysis based on a single trial and the use of Bayesian comprehensive decision analytic models. Further issues such as the role of probabilistic sensitivity analysis and Bayesian evidence synthesis are also presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
