Signal Detection for Medical Scientists: Likelihood Ratio Test-based Methodology

Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology is a comprehensive guide to data mining techniques, focusing on likelihood ratio test (LRT) based methods. It is written as a reference book for professionals in the pharmaceutical industry, medical device manufacturers, and regulatory agencies, covering signal detection in drug/device evaluation and pre-market signal detection during clinical trials. The book offers a balanced discussion of data structure, issues in signal detection, statistical methods, and implementation, with a comprehensive summary of LRT methods and extensions for various datasets. It is suitable for both research and teaching, with detailed scientific background, statistical methods, and associated algorithms that allow readers to apply the methods independently.

Format: Hardback
Length: 226 pages
Publication date: 25 June 2021
Publisher: Taylor & Francis Ltd

Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology delves into the realm of data mining techniques, with a specific emphasis on likelihood ratio test (LRT) based methods for signal detection. It serves as a comprehensive resource for both first-time researchers and graduate students embarking on this captivating field. Authored by experts in the pharmaceutical industry, medical device manufacturers, and regulatory agencies, the book offers a valuable reference for professionals engaged in drug/device evaluation, particularly in the post-market evaluation of medical products and the pre-market signal detection during clinical trials for monitoring procedures.

Moreover, this book appeals to academic researchers and faculty members in mathematics, statistics, biostatistics, data science, pharmacology, engineering, epidemiology, and public health. Its versatility makes it well-suited for both research and teaching purposes.

Key Features:

The book provides a balanced discussion of the art of data structure, addressing key issues in signal detection, statistical methods, and analytics. It offers a comprehensive summary of LRT methods for signal detection, encompassing both the basic theory and extensions for varying datasets, such as large post-market data or pre-market clinical trial data.

In-depth details of the scientific background, statistical methods, and associated algorithms are provided, enabling readers to quickly master the materials and apply the methods to their own problem-solving endeavors.

By presenting a comprehensive and accessible approach to signal detection, Signal Detection for Medical Scientists: Likelihood Ratio Based Test-Based Methodology serves as a valuable tool for medical scientists, researchers, and practitioners seeking to leverage data mining techniques in their work.

Weight: 512g
Dimension: 160 x 241 x 22 (mm)
ISBN-13: 9780367201432