Required reading in many medical and healthcare institutions, How to Read a Paper is a clear and wide-ranging introduction to evidence-based medicine and healthcare, helping readers to understand its central principles, critically evaluate published data, and implement the results in practical settings. Author Trisha Greenhalgh guides readers through each fundamental step of inquiry, from searching the literature to assessing methodological quality and appraising statistics.
How to Read a Paper addresses the common criticisms of evidence-based healthcare, dispelling many of its myths and misconceptions, while providing a pragmatic framework for testing the validity of healthcare literature. Now in its sixth edition, this informative text includes new and expanded discussions of study bias, political interference in published reports, medical statistics, big data and more.
Offers user-friendly guidance on evidence-based healthcare that is applicable to both experienced and novice readers
Authored by an internationally recognised practitioner and researcher in evidence-based healthcare and primary care
Includes updated references, additional figures, improved checklists and more
How to Read a Paper is an ideal resource for healthcare students, practitioners and anyone seeking an accessible introduction to evidence-based healthcare.
Автор: Marchevsky, Alberto M.; Wick, Mark (Eds.) Название: Evidence based pathology and laboratory medicine ISBN: 1441910298 ISBN-13(EAN): 9781441910295 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Поставка под заказ.
Описание: Focusing on practical, patient related issues, this volume provides the basic concepts of Evidence Based Medicine (EBM) as they relate to Pathology and Laboratory Medicine and presents various practical applications. It includes EBM concepts for use in the identification of cost-effective panels of immunostains and other laboratory tests and for improvement of diagnostic accuracy based on the identification of selected diagnostic features for particular differential diagnosis. EBM concepts are also put forth for use in Meta-analysis to integrate the results of conflicting literature reports and use of novel analytical tools such as Bayesian belief networks, neural networks, multivariate statistics and decision tree analysis for the development of new diagnostic and prognostic models for the evaluation of patients. This volume will be of great value to pathologists who will benefit from the concepts being promoted by EBM, such as levels of evidence, use of Bayesian statistics to develop diagnostic and other rules and stronger reliance on hard data to support therapeutic and diagnostic modalities.
Описание: Essential reading for those involved in reading medical literature on a regular basis, interpreting medical statistics, and those who want to understand the evidence-based medicine process.
Автор: Sharon E. Straus Название: Evidence-Based Medicine, 4th Edition ISBN: 0702031275 ISBN-13(EAN): 9780702031274 Издательство: Elsevier Science Рейтинг: Цена: 6483.00 р. Наличие на складе: Поставка под заказ.
Описание: Provides an explanation of the central questions: how to ask answerable clinical questions; how to translate them into effective searches for the best evidence; how to critically appraise that evidence for its validity and importance; and, how to integrate it with patients` values and preferences.
Автор: Jenicek Название: Foundations of Evidence-Based Medicine ISBN: 1842141937 ISBN-13(EAN): 9781842141939 Издательство: Taylor&Francis Рейтинг: Цена: 6902.00 р. Наличие на складе: Поставка под заказ.
Описание: Written by the foremost author in the field, this book explores the principles of informal logic as applied to clinical problems and the uses of evidence in logical reasoning. It covers general concepts, theories, paradigms, and definitions; EBM reasoning at each step of a clinician's work; and decision making based on the integration of all of the above. The book describes the assessment of diagnosis, treatment, and prognosis in practical clinical medicine; clinical and community health; and methods in various quantitative and qualitative analyses, especially meta-analysis. The innovative blend of informal logic and structured evidence-based reasoning make this book stand out in a crowd.
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