Applied Medical Statistics

Applied Medical Statistics by Jingmei Jiang, published by John Wiley & Sons on April 12, 2022, is a comprehensive resource designed for medical students and researchers. This 640-page book provides an accessible introduction to foundational concepts in statistics and probability, addressing the growing need for statistical rigor in medical science. Dr. Jiang presents essential statistical analysis techniques without requiring a specialized background in mathematics, making it suitable for a wide audience.
Readers will find a thorough exploration of basic statistical concepts, including data distributions, hypothesis testing, and estimation of population parameters. The book covers commonly used statistical methods such as t-tests and linear regression, along with advanced topics like logistic regression and survival analysis. Each chapter includes exercises and case discussions to reinforce learning and encourage critical evaluation of real-world medical research scenarios, making this edition a valuable tool for postgraduate medical students, clinicians, and researchers interested in biostatistics.
Official synopsis Publisher
APPLIED MEDICAL STATISTICS
An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers
Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will 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.
The distinguished author 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.
Readers will also benefit from the inclusion of:
- A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests
- Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression
- Discussions of 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
Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.
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