相關主題
商品描述
R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA). It has been designed with the objective of establishing the use of R as the standard tool for HTA amongst academics, industry practitioners and regulators. It covers a lot of ground, starting with the necessary background in HTA, R and statistical inference, followed by various modelling tools, ranging from missing data, survival analysis and decision trees, through to multistate models and discrete event simulation. The methods are all illustrated with many detailed worked examples and case studies using real data, and there are detailed descriptions of the code and processes.
Key Features:
- Introductory chapters on the various topics of the book, including HTA, R and statistical inference
- A wide range of common analytical tools used in HTA, from modelling for individual-level data, missing data, survival analysis, decision-modelling and network meta-analysis
- More advanced and increasingly popular tools, such as those for population adjustment, discrete event simulation and the use of web applications as front-end for the overall statistical modelling
- Many detailed worked examples and case studies using real data to illustrate the methodology
- Fully integrated R code gives detailed guidance on implementation of the techniques
- Supplemented by a website with additional resources, including annotated code and data
This text is primarily aimed at modellers working in the field of HTA, regulators and reviewers of reimbursement dossiers and cost-effectiveness analyses. It also complements a wide range of undergraduate and graduate programmes in HTA, health and public health economics, as well as academic researchers in the field of statistical modelling for HTA.
商品描述(中文翻譯)
《R在健康技術評估中的應用》討論了使用適當的統計軟體，特別是R，來執行健康技術評估（HTA）中的整個分析建模流程。其設計目的是確立R作為學術界、業界從業者和監管機構之間HTA的標準工具。內容涵蓋了許多領域，從HTA、R和統計推斷的必要背景開始，接著介紹各種建模工具，包括缺失數據、生存分析和決策樹，直到多狀態模型和離散事件模擬。所有方法都通過許多詳細的實例和案例研究來說明，這些案例使用了真實數據，並詳細描述了代碼和過程。
主要特點：
- 介紹本書各主題的章節，包括HTA、R和統計推斷
- 涵蓋HTA中使用的各種常見分析工具，從個體層級數據建模、缺失數據、生存分析、決策建模到網絡元分析
- 更高級且日益流行的工具，例如人口調整、離散事件模擬以及將網頁應用作為整體統計建模的前端
- 許多詳細的實例和案例研究使用真實數據來說明方法論
- 完全整合的R代碼提供了技術實施的詳細指導
- 附有網站，提供額外資源，包括註解代碼和數據
本書主要針對在HTA領域工作的建模者、監管機構和報銷檔案及成本效益分析的審查者。它也補充了廣泛的本科和研究生課程，涵蓋HTA、健康和公共衛生經濟學，以及在HTA統計建模領域的學術研究者。
作者簡介
Gianluca Baio is Professor of Statistics and Health Economics 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. He is a founding member and former Scientific co-Director of the R-HTA consortium (https: //r-hta.org/) and a founding member of the ConVOI (https: //www.convoi-group.org/) network. He also served as Secretary (2014-2016) and then Programme Chair (2016-2018) in the Section on Biostatistics and Pharmaceutical Statistics of the International Society for Bayesian Analysis. He collaborates with the UK National Institute for Health and Care Excellence (NICE) as a Scientific Advisor on Health Technology Appraisal projects and has been the 18th Armitage Lecturer in November 2021. His research activity is now (almost) officially dead, since he has become the head of the department of Statistical Science at UCL, in 2021.
Howard Thom is Associate Professor in Health Economics at the University of Bristol, a health economics lead at the Bristol NICE Technology Assessment Group (TAG), and managing director of the consultancy Clifton Insight. At the University of Bristol he created the world's first annual short course on Economic Evaluation Modelling in R in 2019 and teaches on R for Health Technology Assessment for the International Society for Pharmacoeconomics and Outcomes Research. With Professor Gianluca Baio he founded the R for HTA organisation in 2018. He has published more than 70 peer reviewer papers, including new methods for network meta-analysis, structural uncertainty in cost-effectiveness models, and value of information analysis. He has built and contributed to dozens of academic and commercial cost-effectiveness models across a wide range of indications, including oncology (e.g. NSCLC, prostate cancer, breast cancer, hepatocellular carcinoma, and melanoma), neurology, rheumatology, and cardiology. Many of these models have been in R, including decision trees, Markov models, multistate microsimulations and discrete event simulations. He is a founding member and current Co-Director of the R-HTA consortium (https: //r-hta.org/), as well as a member of the ConVOI (https: //www.convoi-group.org/) network.
Petros Pechlivanoglou PhD, is a Senior Scientist at the Hospital for Sick Children, an Associate Professor at the Institute of Health Policy, Management and Evaluation (IHPME) at the University of Toronto and an adjunct ICES Scientist. He completed an MSc in econometrics and a PhD in health econometrics at the University of Groningen, the Netherlands. His current research focuses on the integration of large real-world data, decision analysis and statistical modelling in estimating the long-term health economic consequences of disease or treatment exposure, with a focus in early childhood. He has been an R user for over 20 years and has taught decision modeling using R for the last 15 years. Together with an international group of researchers has formed the Decision Analysis in R for Technologies in Health (DARTH) workgroup.
作者簡介(中文翻譯)
吉安盧卡·巴約（Gianluca Baio）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。吉安盧卡的主要研究興趣包括用於成本效益分析和健康系統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。他是R-HTA聯盟（https://r-hta.org/）的創始成員及前科學共同主任，也是ConVOI（https://www.convoi-group.org/）網絡的創始成員。他曾擔任國際貝葉斯分析學會生物統計學與藥物統計學分會的秘書（2014-2016）及計劃主席（2016-2018）。他與英國國家健康與護理卓越研究所（NICE）合作，擔任健康技術評估項目的科學顧問，並於2021年11月擔任第18屆阿米塔奇講者（Armitage Lecturer）。自2021年成為UCL統計科學系主任以來，他的研究活動現在（幾乎）正式停止。
霍華德·湯姆（Howard Thom）是布里斯托大學（University of Bristol）健康經濟學的副教授，布里斯托NICE技術評估小組（TAG）的健康經濟學負責人，以及顧問公司Clifton Insight的執行董事。在布里斯托大學，他於2019年創建了全球首個年度短期課程，教授R語言的經濟評估建模，並為國際藥物經濟學與結果研究學會教授健康技術評估的R語言課程。他與吉安盧卡·巴約教授於2018年共同創立了R for HTA組織。他已發表超過70篇同行評審的論文，包括網絡隨機效應模型的新方法、成本效益模型中的結構不確定性以及信息價值分析。他在多種適應症（包括腫瘤學（例如：非小細胞肺癌、前列腺癌、乳腺癌、肝細胞癌和黑色素瘤）、神經學、風濕病學和心臟病學）中建立並貢獻了數十個學術和商業成本效益模型。這些模型中有許多是用R語言構建的，包括決策樹、馬爾可夫模型、多狀態微模擬和離散事件模擬。他是R-HTA聯盟（https://r-hta.org/）的創始成員及現任共同主任，也是ConVOI（https://www.convoi-group.org/）網絡的成員。
彼得羅斯·佩赫利瓦諾格魯（Petros Pechlivanoglou）博士，是多倫多兒童醫院的高級科學家，健康政策、管理與評估研究所（Institute of Health Policy, Management and Evaluation, IHPME）副教授，以及ICES的兼任科學家。他在荷蘭格羅寧根大學完成了計量經濟學碩士學位和健康計量經濟學博士學位。他目前的研究重點是整合大型現實世界數據、決策分析和統計建模，以估算疾病或治療暴露的長期健康經濟後果，特別關注早期兒童階段。他已使用R語言超過20年，並在過去15年中教授使用R進行決策建模。與一組國際研究人員共同成立了健康技術的R語言決策分析工作組（DARTH）。
