Mixture Modelling for Medical and Health Sciences
暫譯: 醫療與健康科學的混合模型分析
Ng, Shu Kay, Xiang, Liming, Yau, Kelvin Kai Wing
- 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: 302
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367729334
- ISBN-13: 9780367729332
海外代購書籍(需單獨結帳)
商品描述
Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in medical and health sciences. This approach represents balance between "theory" and "practice", stimulating readers and enhancing their capacity to apply mixture models in data analysis. Full of reproducible examples using software code and publicly-available data, the book is suitable for graduate-level students, researchers, and practitioners who have a basic grounding in statistics and would like to explore the use of mixture models to analyse their experiments and research data.
Features
- An in-depth account of the most up-to-date mixture modelling techniques from auser perspective.
- Extensive real-life examples - from typical daily problems to complex data modelling.
- Emphasis on the use of a wide variety of component densities for statistical modelling.
- Coverage of the latest random-effects models in modelling complex correlated data.
- An accompanying website to provide supplementary materials, including software and detailed programming code, and links to available data sources.
- Provision of R and Fortran code for readers who want to do analysis of their own data using mixture models.
Shu-Kay Angus Ng is Professor of Biostatistics in the School of Medicine at the Griffith University, Australia. Dr Ng has published extensively on his research interests, which include cluster analysis, pattern recognition, random-effects modelling, and survival analysis.
Liming Xiang is Associate Professor of Statistics in the School of Physical & Mathematical Sciences at the Nanyang Technological University, Singapore. Her research interests include survival analysis, longitudinal/clustered data analysis and mixture models.
Kelvin Kai-wing Yau is Professor of Statistics in the Department of Management Sciences at the City University of Hong Kong. He has been involved in various interdisciplinary research projects, with journal publications in statistics, medical and health science journals on topics such as mixed effects models, survival analysis and statistical modelling in general.
商品描述(中文翻譯)
《醫療與健康科學的混合模型》提供了混合模型理論發展與其在現實問題應用之間的直接連結。本書通過對來自醫療與健康科學的實際研究問題的綜合分析，描述了最重要概念的發展。這種方法在「理論」與「實踐」之間達成了平衡，激發讀者的興趣並增強他們在數據分析中應用混合模型的能力。本書充滿了可重現的範例，使用軟體代碼和公開可用的數據，適合具有基本統計學基礎的研究生、研究人員和實務工作者，幫助他們探索使用混合模型來分析實驗和研究數據。
特色
- 從使用者的角度深入介紹最新的混合模型技術。
- 廣泛的實際案例 - 從典型的日常問題到複雜的數據建模。
- 強調使用各種組件密度進行統計建模。
- 涵蓋最新的隨機效應模型，以建模複雜的相關數據。
- 附帶網站提供補充材料，包括軟體和詳細的程式碼，以及可用數據來源的連結。
- 提供R和Fortran代碼，供希望使用混合模型分析自己數據的讀者使用。
吳樹凱（Shu-Kay Angus Ng）是澳大利亞格里菲斯大學醫學院的生物統計學教授。吳博士在其研究興趣方面發表了大量文獻，研究領域包括聚類分析、模式識別、隨機效應建模和生存分析。
向黎明（Liming Xiang）是新加坡南洋理工大學物理與數學科學學院的統計學副教授。她的研究興趣包括生存分析、縱向/聚類數據分析和混合模型。
邱啟榮（Kelvin Kai-wing Yau）是香港城市大學管理科學系的統計學教授。他參與了多個跨學科研究項目，並在統計學、醫療和健康科學期刊上發表了有關混合效應模型、生存分析和統計建模等主題的文章。
作者簡介
Dr Angus Ng is a Professor of Biostatistics in the School of Medicine, Griffith University. He was awarded his PhD degree in statistics from the University of Queensland in 1999. Dr Ng is an experienced researcher, with expertise in the fields of biostatistics, statistical modelling, cluster analysis, pattern recognition, machine learning, image analysis, and survival analysis. In these areas, he has more than 100 publications. The focus in the field of statistical modelling has been on the theory and applications of finite mixture models and on estimation via the EM algorithm. In his pioneering work on mixture model-based clustering of longitudinal data, he has elucidated a clear vision for the role of random-effects models to provide a sound theoretical framework for classifying correlated longitudinal data and exploring possible relationships among groups of correlated subjects.
Dr Ng was awarded six ARC grants and has been actively involved in multidisciplinary research projects, NHMRC research projects, as well as consultancy and Government contracts. He is also a researcher with the Centre for Applied Health Economics (CAHE) and is an Associate Editor of the Journal of Statistical Computation and Simulation.
Prof. Kelvin Yau is a retired professor in the department of management sciences at the City University of Hong Kong. His research interests include Generalized Linear Mixed Models, Multivariate Survival Analysis, Finite Mixture Models, Robust Estimation, Statistical Modelling and Zero-Inflated-Poisson Models.
Liming Xiang is a professor of statistics at Nanyang Technological University in Singapore. She got her PhD degree in 2002 from the City University of Hong Kong. She serves as associate editor for Statistics in Medicine, Computational Statistics & Data Analysis and Journal of Statistical Computation and Simulation.
作者簡介(中文翻譯)
吳安國博士是格里菲斯大學醫學院的生物統計學教授。他於1999年在昆士蘭大學獲得統計學博士學位。吳博士是一位經驗豐富的研究者，專長於生物統計學、統計建模、聚類分析、模式識別、機器學習、影像分析和生存分析等領域。在這些領域中，他擁有超過100篇的出版物。他在統計建模領域的研究重點是有限混合模型的理論與應用，以及透過EM算法進行估計。在他對基於混合模型的縱向數據聚類的開創性工作中，他闡明了隨機效應模型在為相關縱向數據分類和探索相關主體群體之間可能關係提供堅實理論框架方面的角色。
吳博士獲得了六項ARC資助，並積極參與多學科研究項目、NHMRC研究項目，以及顧問和政府合約。他也是應用健康經濟學中心（CAHE）的研究員，並擔任《統計計算與模擬期刊》的副編輯。
邱凱文教授是香港城市大學管理科學系的退休教授。他的研究興趣包括 廣義線性混合模型、多變量生存分析、有限混合模型、穩健估計、統計建模和零膨脹泊松模型。
向黎明是新加坡南洋理工大學的統計學教授。她於2002年在香港城市大學獲得博士學位。她擔任醫學統計、計算統計與數據分析以及統計計算與模擬期刊的副編輯。
