医学统计学_汪培山，芦文丽 _9787302375128

医学统计学

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中教价：¥26.27 (6.60折）

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本教材根据医学专业留学生统计教学的要求，对医学统计学基本概念、基本理论、基本知识和基本技术进行介绍，尤其是对各种统计指标和方法的使用条件、使用方法及统计结果的理解做正确解释。内容包括绪论、统计描述、统计表与统计图、统计推断基础、两组资料及多组资料均数比较的t检验和方差分析、两个率或多个率的比较的卡方检验、非参数统计方法、相关与回归、研究设计基础等。内容简明易懂，每章后面均附有练习题。
本教材供医学专业留学生使用和本科生双语教学使用。

　　Good medical doctors should also be considered scientists and artists. They encounter numerous questions raised by their patients, colleagues and even themselves. In addition, they are faced with a lot of data from patients as well as from laboratory tests. They need to learn to evaluate the information obtained from these tests as well as the journals or medical books. How does one use these data to answer questions? Statistical skills are required to understand and address these questions.
This book is an introductory level textbook designed for medical students as well as students from other healthcare related professions such as nursing, dentistry, pharmacy, and public health services. It can also be used as a reference book for the clinician or other healthcare professionals. It does not require any background knowledge in statistics, and its mathematical level assumes only some knowledge of algebra. In this book, we try to minimize the amount of mathematical formulation but focus more on the applications using relevant examples.

It is important to learn statistics through continuous practice. The study questions listed at the end of each chapter are designed to help to learn and practise topics explained in the book.

It is worth noting that this text book serves as an introduction of medical statistics only. It does not provide answers to all of the questions in statistics. However, it would be a good start to learn statistics. We would very much appreciate any comments and suggestions on what and how the contents of this book can be improved.

We would like to express our sincere gratitude to all of the contributors who wrote or edited chapters of this textbook.

The support of the institution, International College, Tianjin Medical University, was essential for this book. We especially want to acknowledge professor Guo Fenglin, the dean of the college, and his colleagues, for their encouragement and substantive support.

We also thank the publisher for their helpful advice.

We would like to acknowledge many professors and their great works from which we have learned a lot.

Finally, we would like to acknowledge all of the families of the contributors for their support.

Wang Peishan (psw@tijmu.edu.cn)
Lu Wenli (luwenli@tijmu.edu.cn)
Tianjin Medical University
October 2014, Tianjin, China

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