Unlock the Secrets of Medical Research with Statistics at Square Two

By Michael J. Campbell and Richard M. Jacques, this comprehensive guide delves into the world of intermediate statistical techniques in medical research.

A Comprehensive Guide to Advanced Statistical Methods

The newly revised third edition of Statistics at Square Two: Understanding Modern Statistical Applications in Medicine provides an accessible and intuitive discussion of advanced statistical methods for readers and users of scientific medical literature. This invaluable resource enables readers to engage critically with modern research, ensuring a deeper understanding of the correct interpretation of results in the medical literature.

New Features and Updates

This edition includes two brand new chapters covering meta-analysis and time-series analysis, providing readers with a more comprehensive understanding of advanced statistical methods. Additionally, new references to the many checklists that have appeared in recent years enable better reporting of contemporary research. Most examples have been updated, and each chapter contains practice exercises and answers to help reinforce learning.

Real-World Applications and Practical Guidance

Readers will also find sample code (in R) for many of the analyses, making it easier to apply theoretical concepts to real-world scenarios. The book provides:

• A thorough introduction to models and data, including the different types of data, statistical models, and computer-intensive methods
• Comprehensive explorations of multiple linear regression, including the interpretation of computer output, diagnostic statistics such as influential points, and many uses of multiple regression
• Practical discussions of multiple logistic regression, survival analysis, Poisson regression, and random effects models, including their uses, examples in the medical literature, and strategies for interpreting computer output

Perfect for Medical Professionals and Students Alike

Statistics at Square Two: Understanding Modern Statistical Applications in Medicine is an essential resource for anyone hoping to better understand the statistics presented in contemporary medical research. Postgraduate students studying statistics and medicine will also benefit from this comprehensive guide.

Product Details:

• Publisher: Wiley-Blackwell
• Edition: 3rd edition (February 22, 2023)
• Language: English
• Pages: 208
• ISBN-10: 1119401364
• ISBN-13: 978-1119401360