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Focusing on quantative approaches to investigating problems this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
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"This book is aimed at anyone who needs a basic introduction to statistics in the health sciences. It is based on many years' experience teaching first year medical and health science students. Many of the examples are taken from Primary Care in the UK, which is where I worked for many years. Throughout I have tried to emphasise that Medical Statistics is not just a bag of tricks, and there are many synergies between the methods. It is now over forty years since Swinscow's original edition, and each edition reflected changes in the understanding of medical statistics. Perhaps the greatest change has occurred since the previous edition,which appeared twelve years ago.Despite the efforts of medical statisticians, there was a widespread misuse of p-values,the cornerstone of conventional statistical inference. This led some journals to ban p-values altogether. It is my view that used properly the p-value is a useful concept but this book, as in previous editions of this book, concentrates on estimation rather than just hypothesis testing. The book tries to steer the reader away from an excessive devotion to p-values, to instil a proper appreciation of their usefulness and to emphasise estimation over significance testing"--
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Medical Statistics Made Easy, 2nd edition, continues to provide the easiest possible explanations of the key statistical techniques used throughout the medical literature.
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"Data Visualization for Health and Healthcare Professionals is a one-of-a-kind book addressing the best practices of data visualization for on-the-go healthcare professionals and their staffs. It provides: A high-level summary discussion of health and healthcare data. A high-level overview of the research about visual intelligence and how humans see and understand data and information visually. "Don't Do This, Do This" scenarios. Clear and detailed explanations of the best practices of table and graph design, including examples of the most common mistakes and clear explanations about why they don't work, followed by examples of what does and why content is designed so learners quickly and more fully grasp the concepts and embrace and apply the best practices to their work. Content addresses strategies and techniques for building useful and beautiful dashboard, including real-life examples of reports and dashboards, which deliver true guided analytics for the end user"--
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Updated companion volume to the ever popular Statistics at Square One (SS1) Statistics at Square Two, Second Edition, helps you evaluate the many statistical methods in current use. Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings. Easy to read, it includes annotated computer outputs and keeps formulas to a minimum. Worked examples of methods such as multiple and logical regression reinforce the text. Each chapter concludes with exercises to stimulate learning. All those who need to understand stati
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The World Health Report 2000 is an expert analysis of the increasingly important influence of health systems in the daily lives of people worldwide. To an unprecedented degree it takes account of the role of people as providers and consumers of health services, as financial contributors to health systems, as workers within them, and as citizens engaged in their responsible management, or stewardship. Health systems provide the critical interface between life-saving, life-enhancing interventions and the people who need them. If health systems are weak, the power of these interventions is likewi
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