Sample Sizes for Clinical Trials: A Comprehensive Guide for Researchers

Accurate sample size calculation is crucial in clinical trials, and “Sample Sizes for Clinical Trials, Second Edition” by Steven A. Julious is a valuable resource for researchers. This practical book provides a detailed guide on estimating sample sizes for clinical trials, with worked examples to illustrate calculations and presentation methods.

Comprehensive Coverage of Sample Size Calculations

The book covers a wide range of sample size calculations, including:

• Normal outcome data
• Binary outcome data
• Ordinal outcome data
• Survival outcome data

It also delves into various trial objectives, such as superiority, equivalence, non-inferiority, bioequivalence, and precision objectives, and their impact on study design.

Real-Life Examples and Applications

The book is motivated by real-life clinical trials, showcasing how sample size calculations can be applied in practice. The author provides clear explanations, making it easy for readers to understand and implement the concepts.

New Edition: Revised and Expanded

The second edition of “Sample Sizes for Clinical Trials” has been extensively revised, with four new chapters added on:

• Multiplicity
• Cluster trials
• Pilot studies
• Single arm trials

These new chapters provide readers with a more comprehensive understanding of sample size calculations and their applications.

A Valuable Resource for Researchers and Practitioners

This book is an essential resource for researchers and practitioners of clinical trials and biostatistics. It can also be used as a teaching tool for courses on sample size calculations. By following the guidelines and examples provided in the book, readers can quickly find an appropriate sample size formula and perform accurate calculations.

Remember, an accurate sample size calculation is crucial when designing a clinical trial. It enables researchers to determine the required sample size, ensuring that their study is adequately powered to detect significant results.