Statistical Questions in Evidence-based Medicine is a companion volume to the new edition of An Introduction to Medical Statistics and includes questions and answers which are complementary to the textbook. This new book takes a practical approach that develops an understanding of statistics and suggests appropriate questions to ask about research methods, figures and conclusions and whether they are evidence based. The book is a model of clarity and common sense in what is frequently an unnecessarily obscure area of science. It looks at the application of and provides a critique of statistics, encouraging an evidence-based approached to medical statistics. Through the critical evaulation of the published medical literature, the text will enable both students and researchers to understand the appropriate use of descriptive and inferential statistics in study design and when writing papers. The reproduction of short excerpts of material from published papers or summaries of their results are included and they are considered in a question and answer format. The reader can either read through the series of cases and follow through worked examples or work through the book themselves as a series of exercises. The questions are clearly graded, through the use of icons, in terms of difficulty into standard and postgraduate levels. This book will prove invaluable to students, medical researchers and doctors alike.

Statistics and evidence-based medicine are assessed in most postgraduate and undergraduate medical examinations and degrees in health sciences. All clinicians have to acquire skills in this area. This book aims to provide a brief overview of basic medical statistics and the numerical aspects of evidence-based medicine, to give realistic worked examples to illustrate the interpretation of studies relevant to clinical practice, and to allow examination practice. It aims to cover all major topics covered in the undergraduate and postgraduate examinations.Each chapter begins with an overview and summary of the main points, followed by worked examples and exercises with full answers. It will be ideal for all postgraduate medical examination candidates. Other clinicians and undergraduate students in medicine and health sciences will also find it useful.

A comprehensive, yet easy to understand textbook that covers all of the main areas that are routinely tested in exams such as medical finals, the MRCP, and the FRCEM examinations. The text clearly explains the fundamental statistical principles used in the medical literature by concentrating on the essentials needed. Each chapter concludes with a self-assessed quiz that allows candidates to test themselves and reinforce key knowledge.

Drawing on the work of the Roundtable on Evidence-Based Medicine, the 2007 IOM Annual Meeting assessed some of the rapidly occurring changes in health care related to new diagnostic and treatment tools, emerging genetic insights, the developments in information technology, and healthcare costs, and discussed the need for a stronger focus on evidence to ensure that the promise of scientific discovery and technological innovation is efficiently captured to provide the right care for the right patient at the right time. As new discoveries continue to expand the universe of medical interventions, treatments, and methods of care, the need for a more systematic approach to evidence development and application becomes increasingly critical. Without better information about the effectiveness of different treatment options, the resulting uncertainty can lead to the delivery of services that may be unnecessary, unproven, or even harmful. Improving the evidence-base for medicine holds great potential to increase the quality and efficiency of medical care. The Annual Meeting, held on October 8, 2007, brought together many of the nation's leading authorities on various aspects of the issues - both challenges and opportunities - to present their perspectives and engage in discussion with the IOM membership.

This is a basic book on evidence-based medicine (EBM). It starts with an introduction to the topic. It outlines the relationship between EBM and research and quality of care. Then It goes on to cover the most commonly used modules of EBM, i.e. therapy, diagnosis, prognosis and meta-analysis. Each module starts with an introduction to fundamental concepts, and description of the related research process, and then follows the critical appraisal of related type of research artcle. At the end, it covers the different systems of grading of level of evidence and strength of recommendations. The book also has three examples of critical appraisal on diagnosis, therapy, and meta-analysis.​

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises Two-part design features course material and a professional reference section Chapter summaries provide a review of formulas, method algorithms, and check lists Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions Updated database coverage and additional exercises Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough discussion on required sample size

Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.