商品描述
The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardized and highly customizable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardize their workflow, for example in the preparation of dossiers in support of marketing authorization, or academic and scientific publications. This new edition includes a more streamlined description of examples and programming, focusing on the newest release of the BCEA package and recent work on Value of Information.
商品描述(中文翻譯)
本書提供了健康經濟評估和成本效益分析的建模過程描述，特別是從貝葉斯統計方法的角度出發。書中使用實際範例和兩個持續案例研究來介紹一些相關理論和入門概念。本書還詳細說明了如何使用 R 套件 BCEA（貝葉斯成本效益分析）進行健康經濟評估。BCEA 可用於後處理貝葉斯成本效益模型的結果，並執行高級分析，產生標準化且高度可自訂的輸出。它介紹了該套件的所有功能，包括其多個函數及其實際應用，以及其使用者友好的網頁介面。本書是健康經濟學領域的統計學家和實務工作者的重要資源，幫助他們簡化和標準化工作流程，例如在準備支持市場授權的檔案或學術和科學出版物時。本新版本包含了對範例和程式設計的更精簡描述，專注於 BCEA 套件的最新版本以及最近在資訊價值方面的研究成果。
作者簡介
Gianluca Baio is a Professor of Statistics and Health Economics in the Department of Statistical Science at University College London (UK). Gianluca graduated in Statistics and Economics from the University of Florence (Italy). He then completed a PhD programme in Applied Statistics again at the University of Florence, after a period at the Program on the Pharmaceutical Industry at the MIT Sloan School of Management, Cambridge (USA); he then worked as a Research Fellow and then Lecturer in the Department of Statistical Science at University College London (UK). Gianluca's main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in the health systems, hierarchical/multilevel models and causal inference using the decision-theoretic approach. Gianluca leads the Statistics for Health Economic Evaluation research group within the department of Statistical Science and was the co-director of UCL MSc Programme in Health Economics and Decision Science. His research activity is now (almost) officially dead, since he has become the head of the department of Statistical Science at UCL, in 2021. Andrea Berardi is a Vice President at Precision AQ with experience in conducting complex statistical and health economic analyses across several disease areas. Andrea designed and conducted analyses of clinical trial data, evidence synthesis analyses, built cost-effectiveness and budget impact models, and supported health technology assessment (HTA) submissions to European countries. Andrea is also an experienced designer and programmer of web applications for health economics, having designed and developed several web interfaces to economic models, statistical analyses, and market access tools using R/Shiny. Andrea graduated with an MSc in Biostatistics and Experimental Statistics with a focus on Bayesian methods in health economics from the University of Milan-Bicocca. Before joining Precision, Andrea was a Principal Consultant at PAREXEL, and before then he was the Health Economics Lead of the Evidence Assessment Group (EAG) at the British Medical Journal Technology Assessment Group (BMJ-TAG). Dr. Anna Heath is a Scientist at The Hospital for Sick Children, with affiliations at the University of Toronto and University College London. Her research aims to develop innovative statistical methods to design, prioritise and analyse clinical research within a Bayesian framework, with a focus on Value of Information methods. Dr. Nathan Green studied Mathematics and Statistics at the University of Newcastle-Upon-Tyne and completed a PhD in Applied Probability at the University of Liverpool. After several years working at the UK Ministry of Defence, where he applied novel Bayesian inference methods to real-world problems, he returned to academia in 2010 to focus on public health research. Dr Green is currently a Senior Research Fellow in the Department of Statistical Science at University College London, having previously worked across government and academic sectors on a wide range of topics, including oncology, tuberculosis, healthcare-associated infections, and sexually transmitted infections. His research interests span health economics, survival analysis, evidence synthesis, and epidemiology, with a particular emphasis on Bayesian statistical modelling. He is also an enthusiastic R programmer, with a focus on developing reproducible and innovative approaches to statistical analysis in health research.
作者簡介(中文翻譯)
吉安盧卡·巴約是倫敦大學學院（University College London, UK）統計科學系的統計學與健康經濟學教授。吉安盧卡畢業於佛羅倫斯大學（University of Florence, Italy）的統計學與經濟學專業。隨後，他在佛羅倫斯大學完成了應用統計學的博士學位，並在美國麻省理工學院斯隆管理學院（MIT Sloan School of Management, Cambridge）參加了製藥產業的相關計畫；之後，他在倫敦大學學院的統計科學系擔任研究員，並成為講師。吉安盧卡的主要研究興趣包括健康系統中的成本效益分析和決策問題的貝葉斯統計建模、階層/多層模型以及使用決策理論方法的因果推斷。吉安盧卡領導統計科學系的健康經濟評估研究小組，並曾擔任UCL健康經濟學與決策科學碩士課程的共同主任。自2021年起，他成為統計科學系的系主任，至今他的研究活動幾乎已經（正式）停止。
安德烈亞·貝拉爾迪是Precision AQ的副總裁，擁有在多個疾病領域進行複雜統計和健康經濟分析的經驗。安德烈亞設計並進行臨床試驗數據的分析、證據綜合分析，建立成本效益和預算影響模型，並支持向歐洲國家的健康技術評估（HTA）提交。安德烈亞還是一位經驗豐富的健康經濟學網頁應用程式設計師和程式設計師，曾使用R/Shiny設計和開發多個經濟模型、統計分析和市場准入工具的網頁介面。安德烈亞在米蘭比科卡大學（University of Milan-Bicocca）獲得生物統計學和實驗統計學碩士學位，專注於健康經濟學中的貝葉斯方法。在加入Precision之前，安德烈亞曾擔任PAREXEL的首席顧問，並在此之前是英國醫學期刊技術評估小組（British Medical Journal Technology Assessment Group, BMJ-TAG）證據評估小組（Evidence Assessment Group, EAG）的健康經濟學負責人。
安娜·希斯博士是多倫多兒童醫院（The Hospital for Sick Children）的科學家，並與多倫多大學和倫敦大學學院有合作關係。她的研究旨在開發創新的統計方法，以在貝葉斯框架內設計、優先排序和分析臨床研究，重點關注信息價值方法。
內森·格林博士在紐卡斯爾大學（University of Newcastle-Upon-Tyne）學習數學和統計學，並在利物浦大學（University of Liverpool）完成應用概率論的博士學位。在英國國防部工作幾年後，他將新穎的貝葉斯推斷方法應用於現實問題，於2010年回到學術界，專注於公共衛生研究。格林博士目前是倫敦大學學院統計科學系的高級研究員，之前在政府和學術界的多個領域工作，涉及腫瘤學、結核病、醫療相關感染和性傳播感染等廣泛主題。他的研究興趣涵蓋健康經濟學、生存分析、證據綜合和流行病學，特別強調貝葉斯統計建模。他也是一位熱衷的R程式設計師，專注於在健康研究中開發可重複和創新的統計分析方法。
