
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature.Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice.End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
This text investigates the fundamental statistical principles and methodologies required to interpret and analyze data within medical research and clinical practice. Martin Bland, a recognized authority in medical statistics, provides a structured framework designed to bridge the gap between complex mathematical theory and practical application. By utilizing real-world studies and clinical examples, the author demonstrates how to evaluate research findings critically and avoid common analytical pitfalls. The book serves as a comprehensive guide for students and practitioners who need to navigate the statistical landscape of modern medical literature.
What You Will Find
Experts and educators frequently cite this work as a foundational text for medical professionals and students seeking to improve their statistical literacy. Readers often highlight the clarity of the prose and the effectiveness of the real-world examples in demystifying complex concepts.
Page Count:
446
Publication Date:
2015-08-23
Publisher:
Oup Oxford
ISBN-10:
0199589925
ISBN-13:
9780199589920