Encyclopaedic Companion To Medical Statistics

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Encyclopaedic Companion to Medical Statistics

Author : Brian S. Everitt,Christopher R. Palmer
Publisher : John Wiley & Sons
Page : 753 pages
File Size : 40,9 Mb
Release : 2011-06-20
Category : Medical
ISBN : 9781119957409

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Encyclopaedic Companion to Medical Statistics by Brian S. Everitt,Christopher R. Palmer Pdf

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.

The Encyclopaedic Companion to Medical Statistics

Author : Brian S. Everitt,Christopher R. Palmer
Publisher : Wiley
Page : 394 pages
File Size : 41,8 Mb
Release : 2009-01-27
Category : Medical
ISBN : 034080999X

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The Encyclopaedic Companion to Medical Statistics by Brian S. Everitt,Christopher R. Palmer Pdf

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.

Medical Statistics

Author : Filomena Pereira-Maxwell
Publisher : CRC Press
Page : 402 pages
File Size : 53,9 Mb
Release : 2018-05-15
Category : Medical
ISBN : 9781444167351

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Medical Statistics by Filomena Pereira-Maxwell Pdf

This invaluable, jargon-free guide to essential medical terminology in an accessible A-Z format is ideal for medical, allied health and biomedical science students and researchers, clinicians and health care practitioners. Avoiding the complex language that is so often a feature of statistics and research methodology, this text provides clear and succinct explanations, clarifying meaning and showing the interdependencies between important concepts. This edition includes enhanced explanations of statistical concepts and methods—including more illustrative content—for greater accessibility. The book makes frequent use of examples from the medical literature, with reference to landmark studies, ensuring clinical relevance. It remains an ideal aid to accompany the reading and critical appraisal of medical and health care literature, now widely recognized to be a practical lifelong skill required by all health professionals throughout undergraduate and postgraduate studies and during clinical practice.

Applied Medical Statistics Using SAS

Author : Geoff Der,Brian S. Everitt
Publisher : CRC Press
Page : 539 pages
File Size : 48,5 Mb
Release : 2012-10-01
Category : Mathematics
ISBN : 9781439867983

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Applied Medical Statistics Using SAS by Geoff Der,Brian S. Everitt Pdf

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

Medical Statistics at a Glance

Author : Aviva Petrie,Caroline Sabin
Publisher : John Wiley & Sons
Page : 181 pages
File Size : 51,7 Mb
Release : 2009-07-27
Category : Medical
ISBN : 9781405180511

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Medical Statistics at a Glance by Aviva Petrie,Caroline Sabin Pdf

Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. This new edition of Medical Statistics at a Glance: Presents key facts accompanied by clear and informative tables and diagrams Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of computer data analysis rather than complex hand calculations Includes extensive cross-referencing, a comprehensive glossary of terms and flow-charts to make it easier to choose appropriate tests Now provides the learning objectives for each chapter Includes a new chapter on Developing Prognostic Scores Includes new or expanded material on study management, multi-centre studies, sequential trials, bias and different methods to remove confounding in observational studies, multiple comparisons, ROC curves and checking assumptions in a logistic regression analysis The companion website at www.medstatsaag.com contains supplementary material including an extensive reference list and multiple choice questions (MCQs) with interactive answers for self-assessment. Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical disciplines. Reviews of the previous editions "The more familiar I have become with this book, the more I appreciate the clear presentation and unthreatening prose. It is now a valuable companion to my formal statistics course." –International Journal of Epidemiology "I heartily recommend it, especially to first years, but it's equally appropriate for an intercalated BSc or Postgraduate research. If statistics give you headaches - buy it. If statistics are all you think about - buy it." –GKT Gazette "...I unreservedly recommend this book to all medical students, especially those that dislike reading reams of text. This is one book that will not sit on your shelf collecting dust once you have graduated and will also function as a reference book." –4th Year Medical Student, Barts and the London Chronicle, Spring 2003

Guide to Reference in Medicine and Health

Author : Denise Beaubien Bennett,Christa Modscheidler
Publisher : American Library Association
Page : 488 pages
File Size : 54,9 Mb
Release : 2014-04-26
Category : Language Arts & Disciplines
ISBN : 9780838919835

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Guide to Reference in Medicine and Health by Denise Beaubien Bennett,Christa Modscheidler Pdf

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.

Medical Statistics from A to Z

Author : B. S. Everitt
Publisher : Cambridge University Press
Page : 250 pages
File Size : 43,6 Mb
Release : 2006-12-21
Category : Medical
ISBN : 9781139460958

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Medical Statistics from A to Z by B. S. Everitt Pdf

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.

Companion Encyclopedia of the History of Medicine

Author : William F. Bynum,Roy Porter
Publisher : Taylor & Francis
Page : 810 pages
File Size : 49,7 Mb
Release : 1993
Category : History of Medicine
ISBN : 0415164192

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Companion Encyclopedia of the History of Medicine by William F. Bynum,Roy Porter Pdf

This text provides an account of the development of medical science in its various branches, and includes discussions of the medical profession and its institutions, and the impact of medicine upon populations, economic development, culture, religions, and thought.

Medical Statistics from A to Z

Author : Brian S. Everitt
Publisher : Cambridge University Press
Page : 293 pages
File Size : 45,9 Mb
Release : 2021-03-18
Category : Medical
ISBN : 9781108826464

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Medical Statistics from A to Z by Brian S. Everitt Pdf

Succinctly explains statistical terms encountered in medicine using non-technical language, giving advice on common pitfalls in techniques.

Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation

Author : Stephen J. Walters
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 52,8 Mb
Release : 2009-10-26
Category : Medical
ISBN : 9780470753828

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Quality of Life Outcomes in Clinical Trials and Health-Care Evaluation by Stephen J. Walters Pdf

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.

Statistics in the Health Sciences

Author : Albert Vexler,Alan Hutson
Publisher : CRC Press
Page : 416 pages
File Size : 41,6 Mb
Release : 2018-01-19
Category : Medical
ISBN : 9781315293769

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Statistics in the Health Sciences by Albert Vexler,Alan Hutson Pdf

"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.

How to Display Data

Author : Jenny V. Freeman,Stephen J. Walters,Michael J. Campbell
Publisher : John Wiley & Sons
Page : 120 pages
File Size : 42,8 Mb
Release : 2011-08-26
Category : Medical
ISBN : 9781444359701

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How to Display Data by Jenny V. Freeman,Stephen J. Walters,Michael J. Campbell Pdf

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.

Survival Analysis

Author : Shenyang Guo
Publisher : Oxford University Press
Page : 172 pages
File Size : 49,5 Mb
Release : 2010-01-25
Category : Social Science
ISBN : 9780195337518

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Survival Analysis by Shenyang Guo Pdf

Survival analysis is a class of statistical methods for studying the occurrence and timing of events. With clearly written summaries and plentiful examples, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before.

Statistical Issues in Drug Development

Author : Stephen S. Senn
Publisher : John Wiley & Sons
Page : 523 pages
File Size : 50,7 Mb
Release : 2008-02-28
Category : Medical
ISBN : 0470723572

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Statistical Issues in Drug Development by Stephen S. Senn Pdf

Drug development is the process of finding and producingtherapeutically useful pharmaceuticals, turning them into safe andeffective medicine, and producing reliable information regardingthe appropriate dosage and dosing intervals. With regulatoryauthorities demanding increasingly higher standards in suchdevelopments, statistics has become an intrinsic and criticalelement in the design and conduct of drug development programmes. Statistical Issues in Drug Development presents anessential and thought provoking guide to the statistical issues andcontroversies involved in drug development. This highly readable second edition has been updated toinclude: Comprehensive coverage of the design and interpretation ofclinical trials. Expanded sections on missing data, equivalence, meta-analysisand dose finding. An examination of both Bayesian and frequentist methods. A new chapter on pharmacogenomics and expanded coverage ofpharmaco-epidemiology and pharmaco-economics. Coverage of the ICH guidelines, in particular ICH E9,Statistical Principles for Clinical Trials. It is hoped that the book will stimulate dialogue betweenstatisticians and life scientists working within the pharmaceuticalindustry. The accessible and wide-ranging coverage make itessential reading for both statisticians and non-statisticiansworking in the pharmaceutical industry, regulatory bodies andmedical research institutes. There is also much to benefitundergraduate and postgraduate students whose courses include amedical statistics component.

Statistical Testing Strategies in the Health Sciences

Author : Albert Vexler,Alan D. Hutson,Xiwei Chen
Publisher : CRC Press
Page : 703 pages
File Size : 40,6 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781498730846

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Statistical Testing Strategies in the Health Sciences by Albert Vexler,Alan D. Hutson,Xiwei Chen Pdf

Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.