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The 5th Edition of this widely regarded introductory text on statistics for medical and health sciences has received substantial updates, including several new chapters and refreshed examples throughout the book. This edition continues its core mission of simplifying medical statistics, minimizing technical jargon to ensure accessibility for a diverse readership.

Each chapter concludes with helpful multiple-choice exercises, with answers conveniently located at the end of the book. The explanations of each statistical technique are clear, and the mathematical concepts are simplified to enhance understanding. Crafted in a style that resonates with both statisticians and clinicians, this edition showcases numerous authentic examples, derived from the authors’ extensive experience in designing and analyzing clinical trials as well as teaching statistics.

Students across health science disciplines—including medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography—will find this book particularly beneficial, as it includes examples pertinent to their fields. The goal of the medical statistics training courses associated with these disciplines is not to convert students into statisticians, but rather to equip them with the skills to interpret published research and master the essentials of study design and data analysis pertaining to their own projects. For readers planning to design their own studies, collect and analyze data, and report their findings, this clearly written guide offers practical insights into these subjects.

The actionable guidance found within this book serves as a valuable resource for professionals engaged in or overseeing clinical trials across various settings, including academic, public health, government, and industry. It is especially relevant for medical statisticians, clinicians, and trial coordinators. Its hands-on approach is particularly appealing to applied statisticians and biomedical researchers, especially those within the biopharmaceutical sector and medical or public health organizations.

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