Bayesian Cost-Effectiveness Analysis of Medical Treatments
暫譯: 醫療治療的貝葉斯成本效益分析
Moreno, Elias, Vazquez-Polo, Francisco Jose, Negrín-Hernández, Miguel Angel
- 出版商: CRC
- 出版日期: 2020-12-18
- 售價: $2,510
- 貴賓價: 9.5 折 $2,385
- 語言: 英文
- 頁數: 284
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367731878
- ISBN-13: 9780367731878
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems. Cost-Effectiveness of Medical Treatments formulates the cost-effectiveness analysis as a statistical decision problem, identifies the sources of uncertainty of the problem, and gives an overview of the frequentist and Bayesian statistical approaches for decision making. Basic notions on decision theory such as space of decisions, space of nature, utility function of a decision and optimal decisions, are explained in detail using easy to read mathematics.
Features
- Focuses on cost-effectiveness analysis as a statistical decision problem and applies the well-established optimal statistical decision methodology.
- Discusses utility functions for cost-effectiveness analysis.
- Enlarges the class of models typically used in cost-effectiveness analysis with the incorporation of linear models to account for covariates of the patients. This permits the formulation of the group (or subgroup) theory.
- Provides Bayesian procedures to account for model uncertainty in variable selection for linear models and in clustering for models for heterogeneous data. Model uncertainty in cost-effectiveness analysis has not been considered in the literature.
- Illustrates examples with real data.
- In order to facilitate the practical implementation of real datasets, provides the codes in Mathematica for the proposed methodology.
The motivation for the book is to make the achievements in cost-effectiveness analysis accessible to health providers, who need to make optimal decisions, to the practitioners and to the students of health sciences.
El as 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.
Francisco Jos V zquez-Polo is Professor of Mathematics and Bayesian Methods at the University of Las Palmas de Gran Canaria, and Head of the Department of Quantitative Methods.
Miguel ngel Negr n 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.
商品描述(中文翻譯)
成本效益分析在健康系統中的決策過程中變得越來越重要。《醫療治療的成本效益》將成本效益分析定義為一個統計決策問題，識別問題的不確定性來源，並概述了頻率主義和貝葉斯統計方法在決策中的應用。書中詳細解釋了決策理論的基本概念，如決策空間、自然空間、決策的效用函數和最佳決策，並使用易於理解的數學進行說明。
特點
- 專注於將成本效益分析視為一個統計決策問題，並應用成熟的最佳統計決策方法論。
- 討論成本效益分析的效用函數。
- 通過納入線性模型來考慮患者的協變量，擴大了成本效益分析中通常使用的模型類別。這使得群體（或子群體）理論的形成成為可能。
- 提供貝葉斯程序以考慮線性模型中變量選擇的模型不確定性以及異質數據模型中的聚類。文獻中尚未考慮成本效益分析中的模型不確定性。
- 使用真實數據進行示例說明。
- 為了促進真實數據集的實際應用，提供了在《Mathematica》中實現所提方法的代碼。
本書的動機是使成本效益分析的成就對需要做出最佳決策的健康提供者、實踐者和健康科學的學生變得可及。
El as Moreno是西班牙格拉納達大學的統計學和運籌學教授，西班牙皇家科學院的通訊成員，以及國際統計學會的當選成員。
Francisco José Vázquez-Polo是拉斯帕爾馬斯大學的數學和貝葉斯方法教授，並擔任定量方法系主任。
Miguel Ángel Negrón是ULPGC定量方法系的高級講師。他的主要研究主題包括應用於健康經濟學的貝葉斯方法、經濟評估和成本效益分析、元分析以及醫療服務提供的公平性。
作者簡介
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).
作者簡介(中文翻譯)
埃利亞斯·莫雷諾是西班牙格拉納達大學的統計學與運籌學教授，西班牙皇家科學院的通訊會員，以及國際統計學會的當選會員。他曾擔任西班牙統計學與運籌學會的會長（1992-1996），以及統計學與運籌學系的主任（1986-1990），並且是RACSAM、Test、ESTADISTICA和Global & Local Economic Review的編輯委員會成員。他是Bayesian Robustness第29卷的共同編輯，數學統計學會出版的Bayesian Statistics 6，以及施普林格出版社的Topics on Methodological and Applied Statistical Inference。他在統計期刊上發表了約120篇有關統計推斷的論文，包括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和Statistical Methods in Medical Research。
弗朗西斯科·荷西·巴斯克斯-波洛是拉斯帕爾馬斯大學的數學與貝葉斯方法教授，並且是定量方法系的主任。他發表了十二章書籍和約70篇經濟學期刊的論文，包括Journal of Business Economics & Statistics、European Journal of Health Economics、Health Economics、Journal of Health Economics，以及統計期刊，包括Journal of the Royal Statistical Society (Series B, C & D)、European Journal of Operational Research、Computational Statistics and Data Analysis、Statistics in Medicine和Statistical Methods in Medical Research。
米格爾·安赫爾·內格林是ULPGC定量方法系的高級講師。他的主要研究主題是應用於健康經濟學的貝葉斯方法、經濟評估和成本效益分析、元分析以及醫療服務提供的公平性。他的部分研究已發表在健康經濟學和統計學的參考期刊上，如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和Statistical Methods in Medical Research。他在Gaceta Sanitaria的編輯委員會中任職（2017年影響因子：1.58）。
