SPSS 10.0 Common Biomedical Statistical Usage Guide

Author: Li Xiangming / Wang Jinsong (Editor-in-Chief)
Publisher:
Publish Date: 2005-03-01
Features: This book provides Chinese explanations for some commonly used English menu commands in medical statistics, along with specific examples to make them more straightforward and easy to understand, serving as a guide for learning by analogy. The book primarily focuses on practical examples and offers the following advantages: (1) It enables individuals with limited statistical knowledge but some computer skills to perform simulated operations based on the nature of their data, thereby obtaining reliable statistical results; (2) It allows those with a certain level of statistical and computer knowledge to conduct simulated exercises, further improving their proficiency with the software. All examples in the book are derived from real-world medical and biological research topics. This book is primarily intended for graduate and undergraduate students in biomedical and medical schools to use for statistical data analysis during thesis writing. It can also be used by young teachers, clinical doctors for learning and statistical processing of research data, as well as by students and faculty in comprehensive universities, agricultural and forestry colleges, and normal universities in relevant fields for reference. In summary, while computers and software continue to evolve, the core principles remain unchanged. Learning computer software not only requires reading reference materials but, more importantly, practice. Only through repeated practice, open communication with others, and careful reflection on their meanings and patterns can one truly master computer software. Learning SPSS through practice is the author's ultimate goal. Since SPSS is based on a database framework, there is a natural possibility of data sharing or statistical module reuse across chapters. Therefore, this book follows a principle of starting with details and gradually broadening. Beginners are recommended to thoroughly study Chapters 1 and 2 and take time to learn some database knowledge.