Basic Biostatistics for Geneticists and Epidemiologists pdf epub mobi txt 电子书下载 2026

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出版者:

作者:Elston, Robert C. (EDT)/ Johnson, William D. (EDT)

出品人:

页数:384

译者:

出版时间:2008-12

价格:940.00元

装帧:

isbn号码:9780470024898

丛书系列:

图书标签:

Biostatistics
Genetics
Epidemiology
Statistical Methods
Healthcare
Public Health
Research
Data Analysis
Medical Statistics
Quantitative Biology

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具体描述

Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

这本书为专门面向基因学家和流行病学家设计的权威参考著作，其主要目标是为专业读者提供系统性、深入浅出的统计学基础知识与应用指导。内容涵盖了从生物统计概念到实际数据分析的各个方面，详细解析了常见统计方法在基因研究和公共卫生领域中的具体应用场景。书中不仅介绍了经典理论，如假设检验、置信区间及回归分析等，还结合现代技术如多变量统计模型和机器学习算法，帮助读者更好地理解复杂数据背后的规律与意义。书中的章节结构经过精心安排，每一部分都紧密围绕实际研究问题展开。首先，基础统计学知识被详细阐述，确保读者能够全面掌握概率分布、数据可视化技巧及实验设计的核心原则。这些内容为后续复杂分析奠定了坚实的理论基础。此外，该书还特别注重案例研究，通过真实的生物与医学背景，展示统计方法在具体应用中的操作步骤和结果解读。例如，在分析遗传多样性数据或流行病数据时，本书提供详细的分析流程和注意事项，帮助读者避免常见误区。另一亮点是对不同研究领域的专题分析。书中不仅涵盖传统统计学，还融入了生物信息学、基因组学与大数据处理等前沿内容，体现了内容的广泛性和时效性。这种多维度的视角使读者在学习过程中能够更灵活地应对不同学科的挑战。书中还提供了丰富的参考资料，包括经典文献综述、最新研究进展及相关统计软件的使用指南，进一步拓宽了读者的知识视野。设计上，书籍采用清晰有序的章节分层结构，图表和实例分析被巧妙运用，帮助理解抽象概念。每一章的总结与提示也为读者提供了便捷的复习工具。整体风格注重专业性和可读性，没有任何内容偏向书籍名称中的标题，而是以真实案例为核心，深入浅出地传递知识。这一书不仅适用于课堂教学与科研实践，还适合希望提升自身统计能力的医学生、公共卫生专家及相关领域从业者。通过系统的学习，读者能够更自信地面对复杂数据分析任务，为科学研究和决策提供有力的支持。这份内容的精深和全面，使其在专业学习中具有重要的参考价值。