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Statistics in medicine
Authors: ---
ISBN: 9780128153291 0128153296 0128153288 9780128153284 Year: 2020 Publisher: London, United Kingdom ;San Diego, CA Academic Press

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Practical biostatistics : a user-friendly approach for evidence-based medicine
Authors: ---
ISBN: 9780124157941 0124157947 9780124158573 0124158579 1280582065 9786613611840 Year: 2012 Publisher: Boston Elsevier/Academic Press

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Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, p


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Data-Driven Approach for Bio-medical and Healthcare
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ISBN: 9789811951848 9789811951831 9789811951855 9789811951862 Year: 2023 Publisher: Singapore Springer Nature

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The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.


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Statistics for Clinicians : How Much Should a Doctor Know?
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ISBN: 9783031207587 9783031207570 9783031207594 9783031207600 Year: 2023 Publisher: Cham Springer International Publishing

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How much statistics does a clinician, surgeon or nurse need to know? This book provides an essential handbook to help appraise evidence in a scientific paper, to design and interpret the results of research correctly, to guide our students and to review the work of our colleagues. This title is written by a clinician exclusively for fellow clinicians, in their own language and not in statistical or epidemiological terms. When clinicians discuss probability, it is focussed on how it applies to the management of patients in the flesh and how they are managed in a clinical setting. Statistics for Clinicians does not overlook the basis of statistics, but reviews techniques specific to medicine with an emphasis on their application. It ensures that readers have the correct tools to hand, including worked examples, guides and links to online calculators and free software, enabling readers to execute most statistical calculations. This book will therefore be enormously helpful for many working across all fields of medicine at any stage of their career.


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Biostatistics for Radiologists : Planning, Performing, and Writing a Radiologic Study
Authors: ---
ISBN: 9788847011335 8847011337 Year: 2009 Publisher: Milano Springer Milan

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Many radiological manuscripts are burdened by limitations relating to study design, definition of enrollment criteria and standard of reference, lack of preliminary estimation of sample size, and incorrect use of statistical tests. These limitations sometimes oblige the reviewer to recommend rejection of a manuscript more frequently than would be the case if rejection were based solely on inherent errors in technical performance or interpretation of imaging modalities. An underlying aim of this book is to facilitate the interaction between radiologists and statisticians by explaining the basics of statistical methods as applied to medical imaging. The intention is to help develop a way of thinking beyond merely how to perform calculations and get p values. Thus, radiologists will be able to solve small statistical problems and, more importantly, to assume the right perspective during the crucial phase when a study is planned and undertaken.

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