Bayesian Cost-Effectiveness Analysis of Medical Treatments

ISBN-13: 9780367731878 / Angielski / Miękka / 2020 / 284 str.

Elias Moreno; Francisco Jose Vazquez-Polo;Negr

Opis

This book deals with the statistical analysis of the cost-effectiveness of medical treatments.

Spis treści

Introduction. Economic evaluation in health economics and cost-effectiveness. The cost-effectiveness analysis as a decision problem. Frequentist and Bayesian cost-effectiveness analysis. Subgroups analysis. Cost-effectiveness analysis for heterogeneous data. Codes. References.

O autorze

Elías Moreno is Professor of Statistics and Operational Research at the University of Granada, Spain, Corresponding Member of the Royal Academy of Sciences of Spain, and elect member of ISI. He served as a President of the Spanish Statistical and Operational Research Society, 1992-1996, and Head of the Department of Statistics and Operational Research, 1986-1990, and he is in the editorial board of RACSAM, Test, ESTADISTICA and Global & Local Economic Review. He is co-editor of Bayesian Robustness, Vol. 29, Institute of Mathematical Statistics, Bayesian Statistics 6, Oxford University Press, and Topics on Methodological and Applied Statistical Inference, Springer-Verlag. He published around 120 papers on Statistical Inference in Statistical Journal including Journal of the Royal Statistical Society Series B, Journal of the American Statistical Association, The Annals of Statistics, Statistical Science, European Journal of Operational Research and Statistical Methods in Medical Research. Francisco José Vázquez-Polo is Professor of Mathematics and Bayesian Methods at the University of Las Palmas de Gran Canaria, and Head of the Department of Quantitative Method. He published twelve chapters of books and around 70 papers in Economics Journals including Journal of Business Economics & Statistics, European Journal of Health Economics, Health Economics, Journal of Health Economics, and in Statistical Journals including Journal of the Royal Statistical Society (Series B, C & D), European Journal of Operational Research, Computational Statistics and Data Analysis, Statistics in Medicine and Statistical Methods in Medical Research. Miguel Ángel Negrín is Senior Lecturer in the Department of Quantitative Methods at the ULPGC. His main research topics are Bayesian methods applied to Health Economics, economic evaluation and cost-effectiveness analysis, meta-analysis and equity in the provision of healthcare services. Part of his research has been published in Journals of reference in Health Economics and Statistics, such as Health Economics, Journal of Health Economics, European Journal of Health Economics, Value in Health, Statistics in Medicine, Medical Decision Making, European Journal of Operational Research and Statistical Methods in Medical Research. He serves in the editorial board of Gaceta Sanitaria (IF 2017: 1,58).