Back to the basics — get up to speed on math and statistics concepts, find advice on selecting statistical software, and get an overview of clinical research The deal with data — find out how to collect data properly, summarize it ... Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled. The bestselling guide to evidence-based medicine and healthcare 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 ... "... After years of trying and failing, this is the only book on statistics that i have managed to read and understand" - Naveed Kirmani, Surgical Registrar, South London Healthcare HHS Trust, UK Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudi This is brought to you in this easily comprehensible succinct textbook. .I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This third edition continues with the same structure as the previous editions and also features a completely revised "Statistics at work" section. Medical Statistics Made Easy 3e scores 99/100 and 5 stars on Doody's (Sept 2014)! The most important points in clinical biostatistics, presented intuitively with clinical examples. Found insideShort, readable, and useful, this book provides the essential, basic information without becoming bogged down in the Found insideMost medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. This is not a text on how to use Excel, rather it illustrates how this program can make the statistics learning experience a better one. This book explains the advanced but essential concepts of Multivariate Statistics in a practical way while touching the mathematical logic in a befitting manner. Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings. Simple Statistics is suitable primarily for A-level students and undergraduates following courses in psychology and, to a lesser degree, sociology, economics and geography. Medical Statistics Made Easy, the perennial bestseller in its field, is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject. Now in its fourth edition! Why Read This Book? My motivation for working on this book stems primarily from the fact that the development and applications of prediction models are often suboptimal in medical publications. Praise for the First Edition " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH A new edition of the cutting-edge guide to ... 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The second edition, with contributions from leading medical statisticians, has been thoroughly revised and expanded. Found insideThis book provides readers with the core background knowledge required to understand the ABG, explains how it is used in clinical practice and provides a unique system for interpreting results. The book provides clear and succinct explanations of those terms frequently encountered in medical statistics, clarifying their meaning and showing the inter-dependency between various important concepts. This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical ... This book is designed for healthcare students and professionals who need a basic definition and knowledge of common statistical terms. 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