高级医学统计学（第二版）

English | 2016 | ISBN-10: 9814583294 | 1472 pages| Epub PDF (True) | 39 MB

The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

这本书旨在为经典的统计方法提供综合性的回顾，同时也介绍医学统计学中的新发展。内容涉及从元分析、临床试验设计到因果推断、个性化医疗以及机器学习和下一代测序分析等多个领域。自第一版出版以来，生物统计学和生物信息学取得了巨大的进展。新版试图涵盖重要的新兴领域，并尽可能反映这些领域的进步。许多在统计方法论及实际应用方面取得重大进展的知名学者也修订了若干章节，并编写了全新的内容。新版被分为四个部分：医学与流行病学中的统计方法、临床试验中的统计方法、遗传学统计以及通用统计方法。为了反映出自第一版出版以来，现代生物统计学遗传学作为最具活力的研究领域之一的地位，新增的遗传学部分包括完全重新编写的章节，反映了该领域的最新成果。尽管各章彼此紧密相关，但所有书中的章节都是独立且自包含的。本书各章节旨在为感兴趣的读者提供一个学习特定主题的良好开端，在科学研究中应用相关统计方法，并寻求深入研究的新参考文献。

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