Using and Understanding Medical Statistics
Using and Understanding Medical Statistics

Author: David E. Matthews

Publisher: S. Karger AG (Switzerland)

Published: 1988

Total Pages: 248

ISBN-13:

DOWNLOAD EBOOK

Abstract: A textbook is intended to serve as a study guide for medical students for becoming well-informed regarding medical statistics for subsequent use in medical research. The theme of the text is to describe the statistical methodology frequently found in published medical research, particularly in the area of chronic diseases. Included are: basic concepts; text of significance; various statistical tests and tables; the use and comparison of survival curves; normally distributed data and their analysis; linear regression models for medical data; other regression models; the quality of data; clinical trial designs; and considerations of sample size. Specific applications to epidemiological studies also are described. Numerous tables, illustrations, and examples are given throughout the text.

Using and Understanding Medical Statistics
Using and Understanding Medical Statistics

Author: David E. Matthews

Publisher: Karger Medical and Scientific Publishers

Published: 2007-01-01

Total Pages: 340

ISBN-13: 3805581890

DOWNLOAD EBOOK

Noteworthy advances have occurred in both the practice of medicine and biostatistical methods since the previous edition of this book was published. For example, physicians' acceptance of the importance of 'evidence-based medicine' is much more widespread now than it was in the mid-1990s. Even a casual reading of the current medical literature reveals that a basic grasp of statistical concepts and a passing appreciation for what statistical analysis can and cannot do is essential in order to understand and critically assess published reports concerning the frontiers of medical research. The fourth revised edition of this highly successful volume represents the most substantial revision of 'Using and Understanding Medical Statistics' since the first edition was published more than 20 years ago. The authors have added five entirely new chapters on Poisson regression, the analysis of variance, meta-analysis, diagnostic tests and the subject of measurement agreement and reliability. In addition, there are sections describing new topics or exploring new examples in the chapters on the Kaplan-Meier estimate, the log-rank test, longitudinal studies, data analysis, clinical trials and epidemiological applications. The end result is an excellent introduction to medical statistics, as well as a valuable reference concerning many of the more complex statistical methods and techniques currently appearing in medical publications.

Using and Understanding Medical Statistics
Using and Understanding Medical Statistics

Author: David E. Matthews

Publisher: Karger Medical and Scientific Publishers

Published: 1996-01-01

Total Pages: 264

ISBN-13: 9783805562768

DOWNLOAD EBOOK

This latest edition is highly recommended both as an excellent introduction to medical statistics and as a valuable tool in explaining the more complex statistical methods and techniques used today.

Know Your Chances
Know Your Chances

Author: Steven Woloshin

Publisher: Univ of California Press

Published: 2008-11-30

Total Pages: 154

ISBN-13: 0520252225

DOWNLOAD EBOOK

Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits outweight the downsides? -- Beware of exaggerated importance -- Beware of exaggerated certainty -- Who's behind the numbers?

Medical Statistics
Medical Statistics

Author: Ramakrishna HK

Publisher: Springer

Published: 2016-11-08

Total Pages: 188

ISBN-13: 9811019231

DOWNLOAD EBOOK

This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation. Further aspects addressed include how to design and conduct clinical trials, and how to write journal articles.

How to Report Statistics in Medicine
How to Report Statistics in Medicine

Author: Thomas Allen Lang

Publisher: ACP Press

Published: 2006

Total Pages: 512

ISBN-13: 1930513690

DOWNLOAD EBOOK

This volume presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research.

Medical Statistics from Scratch
Medical Statistics from Scratch

Author: David Bowers

Publisher: John Wiley & Sons

Published: 2008-04-15

Total Pages: 303

ISBN-13: 9780470724446

DOWNLOAD EBOOK

This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK

Using and Understanding Medical Statistics
Using and Understanding Medical Statistics

Author: D.E. Matthews

Publisher: Karger Medical and Scientific Publishers

Published: 2015-07-02

Total Pages: 360

ISBN-13: 3318054593

DOWNLOAD EBOOK

The fifth revised edition of this highly successful book presents the most extensive enhancement since Using and Understanding Medical Statistics was first published 30 years ago. Without question, the single greatest change has been the inclusion of source code, together with selected output, for the award-winning, open-source, statistical package known as R. This innovation has enabled the authors to de-emphasize formulae and calculations, and let software do all of the ‘heavy lifting’. This edition also introduces readers to several graphical statistical tools, such as Q-Q plots to check normality, residual plots for multiple regression models, funnel plots to detect publication bias in a meta-analysis and Bland-Altman plots for assessing agreement in clinical measurements. New examples that better serve the expository goals have been added to a half-dozen chapters. In addition, there are new sections describing exact confidence bands for the Kaplan-Meier estimator, as well as negative binomial and zero-inflated Poisson regression models for over-dispersed count data. The end result is not only an excellent introduction to medical statistics, but also an invaluable reference for every discerning reader of medical research literature.

Oxford Handbook of Medical Statistics
Oxford Handbook of Medical Statistics

Author: Janet Peacock

Publisher: Oxford University Press

Published: 2011

Total Pages: 540

ISBN-13: 0199551286

DOWNLOAD EBOOK

The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. 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.

Making Sense of Medical Statistics
Making Sense of Medical Statistics

Author: Munier Hossain

Publisher: Cambridge University Press

Published: 2021-10-21

Total Pages: 202

ISBN-13: 1108976603

DOWNLOAD EBOOK

Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.