Handbook of Multiple Comparisons

The Handbook of Multiple Testing covers multiple comparison problems,error rate control,principles,and applications in various fields,including clinical trials,medical imaging,and genome-wide association studies. It provides insights on how to handle large-scale inference and decision-theoretic considerations in these settings.

Format: Paperback / softback
Length: 404 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd

The Handbook of Multiple Testing, written by experts who have contributed significantly to the field, offers comprehensive coverage of multiple comparison problems, ranging from large-scale to small-scale scenarios. It provides valuable guidance on error rate control and offers insights on how principles developed in the past can be applied to current and emerging problems. Some of the key highlights of the Handbook's coverage include:

Error Rate Control: Error rate control is crucial in minimizing the incorrect decision rate. Chapter 1 introduces Tukey's original multiple comparison error rates, highlighting their application and adaptation to modern multiple comparison problems discussed in subsequent chapters.

Principles Endure: While the closed testing principle is well-known, Chapter 4 demonstrates that the partitioning principle can be used to derive confidence sets for multiple tests, which becomes increasingly important as the field moves beyond relying solely on p-values.

Multiple Doses and Endpoints: Multiple comparisons of treatment efficacy often involve multiple doses and endpoints. Chapter 12 explores how different choices of endpoint types lead to different multiplicity adjustment strategies, while Chapter 11 focuses on the MCP-Mod approach, particularly useful for dose-finding.

Assessing Efficacy in Clinical Trials: To evaluate efficacy in clinical trials with multiple doses and multiple endpoints, the Handbook provides insights into traditional approaches in Chapter 2, graphical approaches in Chapter 5, and multivariate approaches in Chapter 3.

Personalized/Precision Medicine: Personalized/precision medicine based on targeted therapies is already a reality, leading to the analysis of efficacy in subgroups. Chapter 13 addresses subtle logical issues in inferences on subgroups and their mixtures, offering a principled solution that aligns with the ICHE9R1 Estimands requirement.

In addition to the comprehensive coverage of multiple comparison problems, the Handbook also includes discussions on practical considerations, such as sample size calculations, power analysis, and the use of software for statistical analysis. It serves as a valuable resource for researchers, practitioners, and students in the fields of statistics, medicine, and other disciplines where multiple comparison problems arise.

Weight: 771g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032111551