Encyclopaedic Companion to Medical Statistics PDF Download
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Author: Brian S. Everitt
Publisher: John Wiley & Sons
ISBN: 1119957400
Category : Medical
Languages : en
Pages : 753
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Book Description
Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross–referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80% of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.
Author: Brian S. Everitt
Publisher: John Wiley & Sons
ISBN: 1119957400
Category : Medical
Languages : en
Pages : 753
Get Book Here
Book Description
Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate statistical concepts successfully to medical researchers. Real examples from the biomedical literature and relevant illustrations feature in many entries and extensive cross–referencing signposts the reader to related entries. Key Features: Contains accounts of over 400 statistical topics central to current medical research. 80% of first edition entries updated and revised. Presents the latest techniques used at the cutting edge of medical research. Covers common errors in statistical analyses in medicine. Real examples from the biomedical literature and relevant illustrations feature throughout. Contains contributions from over 70 experts in the field. Medical researchers, researchers and practitioners in medical research and statistics will benefit greatly from this book.
Author: Filomena Pereira-Maxwell
Publisher: CRC Press
ISBN: 1444167359
Category : Medical
Languages : en
Pages : 417
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Book Description
Clear and user-friendly A-Z format, in handy a pocket size, allows speedy access to information in all settings Fully updated and expanded to cover over 500 statistical terms for comprehensive coverage Enhanced explanations of statistical concepts and methods, including more illustrative content, for greater accessibility Frequent use of examples from the medical literature, with reference to landmark studies, ensures clinical relevance Those new to medical statistics and the more experienced reader will find something of interest here
Author: Geoff Der
Publisher: CRC Press
ISBN: 1439867984
Category : Mathematics
Languages : en
Pages : 539
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Book Description
Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. 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
Author: B. S. Everitt
Publisher: Cambridge University Press
ISBN: 1139460951
Category : Medical
Languages : en
Pages : 250
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Book Description
From 'Abcissa' to 'Zygosity determination' - this accessible introduction to the terminology of medical statistics describes more than 1500 terms all clearly explained, illustrated and defined in non-technical language, without any mathematical formulae! With the majority of terms revised and updated and the addition of more than 100 brand new definitions, this new edition will enable medical students to quickly grasp the meaning of any of the statistical terms they encounter when reading the medical literature. Furthermore, annotated comments are used judiciously to warn the unwary of some of the common pitfalls that accompany some cherished biomedical statistical techniques. Wherever possible, the definitions are supplemented with a reference to further reading where the reader may gain a deeper insight, so whilst the definitions are easily disgestible, they also provide a stepping stone to a more sophisticated comprehension. Statistical terminology can be quite bewildering for clinicians: this guide will be a lifesaver.
Author: Brian S. Everitt
Publisher: Cambridge University Press
ISBN: 1108911277
Category : Medical
Languages : en
Pages : 293
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Book Description
For clinicians not well-versed in mathematical techniques, medical statistics can be baffling. Understanding these statistics is crucial for the interpretation of literature and the informed judgement of the use of therapies. From 'Abortion rate' to 'Zygosity determination', this accessible introduction to the terminology of medical statistics clearly describes, illustrates and explains over 1500 terms using non-technical language, and without any mathematical formulae! The majority of terms have been updated and revised for this new edition, and almost 150 new definitions have been added, ensuring readers are up to date with the latest practices. Entries are organised alphabetically, and related topics are clearly cross-referenced throughout, to provide fast, easy navigation. Further reading suggestions supplement most definitions, which allows readers to deepen their understanding of the subject. Enabling clinicians and medical students to grasp the meaning of any statistical terms they encounter when studying medical literature, this guide is a real lifesaver.
Author: Brian S. Everitt
Publisher: Wiley
ISBN: 9780340809990
Category : Medical
Languages : en
Pages : 394
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Book Description
During the last twenty years statistical methodology has become of central importance in research studies in medicine and also in day-to-day clinical practice. The medical literature is now liberally punctuated not only with relatively routine statistical terms such as p-value, t-test, confidence interval, and correlation, but also with more esoteric items such as hazard function, multilevel model, generalized estimating equations and crossover design. Consequently researchers in medicine and clinicians who are not primarily statisticians need to have a source that provides readable accounts of these terms so that they can understand at least the essence of the statistical aspects of both the design and analysis of a reported investigation. The Encyclopedic Companion to Medical Statistics is that source, containing readable accounts of over 500 statistical topics central to current medical research, with each entry being written by an expert in the field. Examples and graphical material supplement the written material in many entries, and extensive cross-referencing sign posts the reader to other entries that are likely to be relevant.
Author: Denise Beaubien Bennett
Publisher: American Library Association
ISBN: 0838919839
Category : Language Arts & Disciplines
Languages : en
Pages : 488
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Book Description
Drawn from the extensive database of Guide to Reference, this up-to-date resource provides an annotated list of print and electronic biomedical and health-related reference sources, including internet resources and digital image collections.
Author: Stephen J. Walters
Publisher: John Wiley & Sons
ISBN: 047075382X
Category : Medical
Languages : en
Pages : 389
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Book Description
An essential, up-to-date guide to the design of studies and selection of the correct QoL instruments for observational studies and clinical trials. Quality of Life (QoL) outcomes or Person/Patient Reported Outcome Measures (PROMs) are now frequently being used in randomised controlled trials (RCTs) and observational studies. This book provides a practical guide to the design, analysis and interpretation of studies that use such outcomes. QoL outcomes tend to generate data with discrete, bounded and skewed distributions. Many investigators are concerned about the appropriateness of using standard statistical methods to analyse QoL data and want guidance on what methods to use. QoL outcomes are frequently used in cross-sectional surveys and non-randomised health-care evaluations. Provides a user-friendly guide to the design and analysis of clinical trials and observational studies in relation to QoL outcomes. Discusses the problems caused by QoL outcomes and presents intervention options to help tackle them. Guides the reader step-by-step through the selection of appropriate QoLs. Features exercises and solutions and a supporting website providing downloadable data files. Illustrated throughout with examples and case studies drawn from the author’s experience, this book offers statisticians and clinicians guidance on choosing between the numerous available QoL instruments.
Author: Albert Vexler
Publisher: CRC Press
ISBN: 1315293765
Category : Medical
Languages : en
Pages : 416
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Book Description
"This very informative book introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS."— Vlad Dragalin, Professor, Johnson and Johnson, Spring House, PA "It is always a pleasure to come across a new book that covers nearly all facets of a branch of science one thought was so broad, so diverse, and so dynamic that no single book could possibly hope to capture all of the fundamentals as well as directions of the field. The topics within the book’s purview—fundamentals of measure-theoretic probability; parametric and non-parametric statistical inference; central limit theorems; basics of martingale theory; Monte Carlo methods; sequential analysis; sequential change-point detection—are all covered with inspiring clarity and precision. The authors are also very thorough and avail themselves of the most recent scholarship. They provide a detailed account of the state of the art, and bring together results that were previously scattered across disparate disciplines. This makes the book more than just a textbook: it is a panoramic companion to the field of Biostatistics. The book is self-contained, and the concise but careful exposition of material makes it accessible to a wide audience. This is appealing to graduate students interested in getting into the field, and also to professors looking to design a course on the subject." — Aleksey S. Polunchenko, Department of Mathematical Sciences, State University of New York at Binghamton This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures. The book presents biostatistical results that are novel to the current set of books on the market and results that are even new with respect to the modern scientific literature. Several of these results can be found only in this book.
Author: Jenny V. Freeman
Publisher: John Wiley & Sons
ISBN: 1444359703
Category : Medical
Languages : en
Pages : 89
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Book Description
Effective data presentation is an essential skill for anybody wishing to display or publish research results, but when done badly, it can convey a misleading or confusing message. This new addition to the popular “How to” series explains how to present data in journal articles, grant applications or research presentations clearly, accurately and logically, increasing the chances of successful publication.
