Applied Medical Statistics: A Comprehensive Guide for Medical Students and Researchers

By renowned statistician and researcher Dr. Jingmei Jiang, Applied Medical Statistics offers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. This book aims to help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques.

Dr. Jiang presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios.

Key Topics Covered

Applied Medical Statistics covers a wide range of essential topics, including:

• Basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests.
• Commonly used statistical methods, such as t-tests, analysis of variance, and linear regression.
• Advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis.
• Substantive exercises and case discussions at the end of each chapter to reinforce understanding and application of the concepts.

Target Audience

Applied Medical Statistics is perfect for postgraduate medical students, clinicians, and medical and biomedical researchers. It will also be of great interest to any researcher looking to apply statistical methods to their own field of research.

With its comprehensive coverage of statistical concepts and real-world applications, Applied Medical Statistics is an invaluable resource for anyone seeking to improve their understanding of statistical analysis in medical research.