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Research - Introduction to Statistical Methods for Clinical Trials (Chapman & Hall/CRC Texts in Statistical Science)

Description

Book Synopsis: Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial.

After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data.

The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals.

Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.

Details

Unlock the Power of Statistical Methods in Clinical Trials! Discover the essential research tool that has revolutionized the evaluation of new interventions for diseases like cardiovascular disease, cancer, and AIDS. Introducing the highly acclaimed Introduction to Statistical Methods for Clinical Trials. Written by experts in the field, this comprehensive textbook offers a deep dive into the design, monitoring, and analysis of clinical trials. Don't miss your chance to master the statistical techniques that are shaping the future of healthcare.

Gain Valuable Insight Into Data Analysis and Interpretation! Are you ready to take your understanding of clinical trial analysis to the next level? Look no further. With Introduction to Statistical Methods for Clinical Trials, you'll gain a solid foundation in statistical topics that are essential for successful clinical trial execution. Uncover the secrets of determining sample size, exploring common analysis methods, and translating clinical questions into statistical ones. Empower yourself with the knowledge needed to make data-driven decisions that save lives.

Stay Ahead of the Curve with Expert Guidance! When it comes to clinical trials, experience matters. With over 25 years of teaching experience, the authors of Introduction to Statistical Methods for Clinical Trials bring you unparalleled expertise. Benefit from their collective wisdom as they share real-world examples, best practices, and industry insights. Take advantage of this unique opportunity to learn from the best and become a statistical guru in the field of clinical trials.

Excel in Reporting Trial Results with Confidence! Communicating trial results effectively is critical for advancing medical knowledge and gaining recognition in the scientific community. Introduction to Statistical Methods for Clinical Trials provides you with the essential guidelines recommended by medical journals. With this invaluable resource, you'll learn how to present your findings in a clear, concise, and impactful manner. Start publishing groundbreaking research that leaves a lasting impression, paving your way to success in the world of clinical trials.

Take your clinical trial skills to new heights with Introduction to Statistical Methods for Clinical Trials! Order your copy today and embark on a journey towards becoming a trusted expert in the field. Don't miss out on this golden opportunity to shape the future of healthcare with cutting-edge statistical analysis. Act now!

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