Review

“This book is the statistics book of choice for anyone wanting a proper appreciation of the use and application of statistics in health care. I highly recommend this book.” (Journal of Renal Nursing, 6 November 2011)

the breadth of coverage of the book is excellent … a rather different approach to teaching medical statistics.”

Statistics in Medicine

“The most readable book that I have yet discovered in the topic”

Community Health Studies

“This book is statistically correct. That is enough to distinguish it from most of its competitors.”

British Medical Journal
Published Reviews of the 2th Edition

“One word which definitely describes this book is “comprehensive”. Anything you ever wanted to know about medical statistics is covered in immense detail.”

4th Year Medical Student

Liverpool Medical School

Sphincter, December 2003

“This is a comprehensive book that includes an impressive range of topics often omitted from books aimed at non-statisticians.

…a resource that makes it easy for a beginner to comprehend a wide range of statistical concepts and tools. Essential Medical Statistics fills an important niche by providing practical information on a comprehensive scope of modern statistical methods and, at the same time, communicating on the same wavelengths as physicians and other nonstatisticians.”

Teaching of Statistics in the Health Sciences, Section of the American Statistical Association, Spring 2004

“The book is laid out in a logical fashion and includes all of the tables you need to find p-values once you have performed a test. It covers simple statistical methods, such as how to calculate the mean and standard deviation, progressing to linear and multiple regression, Poisson regression and measures of impact and association.

…I would recommend using it to anyone who is still struggling with statistics.”

North Wing, Sheffield Medics Magazine, Winter 2004

“The book is generally well laid out, the indexing is well structured and a comprehensive bibliography is provided. The topics are easy to locate and include practical examples. These attributes make it a useful text for both consulting and teaching purposes.”

Statistics in Medicine, Vol 24, Number 5, March 2005

Book Description

Blackwell Publishing is delighted to announce that this book has been Highly Commended in the 2004 BMA Medical Book Competition. Here is the judges’ summary of this book:

“This is a technical book on a technical subject but presented in a delightful way. There are many books on statistics for doctors but there are few that are excellent and this is certainly one of them. Statistics is not an easy subject to teach or write about. The authors have succeeded in producing a book that is as good as it can get. For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics.”

Essential Medical Statistics is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that demystifies the subject, while providing a comprehensive coverage of advanced as well as basic methods.

The second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.

Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.

Essential Medical Statistics is supported by a web site at www.blackwellpublishing.com/essentialmedstats. This useful online resource provides statistical datasets to download, as well as sample chapters and future updates.
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Essentials of Medical Statistics (Paperback)

By (author) Betty Kirkwood, Jonathan Sterne

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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians is an excellent reference for doctors, nurses, and other practicing clinicians in the fields of medicine, public health, pharmacy, and the life sciences who need to understand and apply statistical methods in their everyday work. It also serves as a suitable supplement for courses on biostatistics at the upper-undergraduate and graduate levels.
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In today’s rapidly changing world of clinical practice, old assumptions quickly fall under the weight of new evidence. But to make effective clinical decisions, you must face a deluge of data published in the health research literature.

With this best-selling text as your guide, you’ll discover a concise, stepwise program that will help you evaluate clinical studies, identify flaws in study design, interpret statistics, and apply evidence from clinical research to your practice.

Sharpen your analytical skills with these insightful features…

Step-by-step approach ideal for both students and practitioners guides you through the health research literature, showing you the ingredients that go into a meaningful study, clues to potential study flaws, and ways to apply solid evidence in clinical practice.
Uniform framework uses a simple six-point framework based on the mnemonic M.A.A.R.I.E. You will learn to evaluate studies in terms of Methods, Assignment, Assessment, Results, Interpretation, and Extrapolation.
Hypothetical illustrations demonstrate the limitations of today’s published studies.
Unique learning aids—including question checklists, scenarios illustrating study design, and flaw-catching exercises—help you reinforce key facts and retain what you’ve learned.

NEW to the Fifth Edition…

New “Guide to the Guidelines” section helps you make sense of established and emerging clinical guidelines, and helps you understand the role of these guidelines in practice.
Current information on outcomes includes discussions of safety and of the effects of interactions on outcomes.
More graphic presentation of statistics helps make complex concepts easy to grasp and apply using a flowchart of statistics.
StudyingaStudy.com Website is an integral feature of this edition providing interactive materials for all sections of the book. The Website provides practice using the M.A.A.R.I.E. framework, interactive flaw-catching and Selecting a Statistics exercises, self-testing questions-answers and exercises using abstracts from real articles.
Courses and Journal Clubs can now use Studying a Study and Testing a Test with the help of a special section of the Website.

Clear the path to a new understanding of evidence-based medicine…and integrate today’s best evidence into tomorrow’s practice. Order your copy of Studying a Study and Testing a Test, Fifth Edition today!




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A manual to guide post graduate medical students to write thesis after research in BSMMU.

As a part of the curricula, each and every student is required to submit a thesis to obtain a Masters or PhD Degree.

For the preparation of a standard thesis, adequate knowledge on biostatistics and other basic medical sciences is a prerequisite. Many of our teachers and students lack sufficient knowledge in biostatistics and research methodology.

A standard book as a guideline, is now the demand of the time. It is expected that a standard book in this regard will equally benefit both the teachers and students, who are involved in research

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Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues related to the modeling and analysis of cluster data, both physical clustering-sampling of communities, families, or herds-and overtime clustering-longitudinal, repeated measures, or time series data. All examples in this new edition are solved using the SAS package, and all SAS programs are provided for understanding material presented. Numerous medical examples make this text especially suitable for applied health scientists and epidemiologists

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For use in any course where use of a statistical software package is desired. SPSS brings affordable, professional statistical analysis and modeling tools right to a student’s own PC. Based on the professional version of one of the world’s leading desktop statistical software packages, SPSS 10.0 for Windows Student Version includes an easy-to-use interface and comprehensive on-line help that enables students to learn statistics, not software. An arsenal of robust features, including time series, allows for even the most complex analysis

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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

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This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant.

· Contributors are internationally renowned experts in their respective areas
· Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research
· Methods for assessing Biomarkers, analysis of competing risks
· Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs
· Structural equations modelling and longitudinal data analysis

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Univ. of Waterloo, Canada. Presents many of the more complex statistical methods and techniques currently appearing in medical publications. This edition features new chapters on Poisson regression, the analysis of variance, meta-analysis, diagnostic tests, and more. For clinicians. Previous edition: c1996. Expanded-outline format. DNLM: Biometry-methods

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The second edition of this highly successful, user-friendly book, continues to provide an excellent foundation in statistics for the uninitiated, making it ideal for both students and professionals in health care and medicine who may be either approaching the subject for the first time, or who want to refresh their understanding of any one of a number of statistical concepts and applications.

As with the first edition, the informal and light-hearted style, and the author’s avoidance of too much mathematics, makes the material very accessible. The addition of two new chapters, one on survival analysis, the other on systematic review and meta-analysis, significantly improves the coverage offered.

New in this edition:

  • Measuring survival: Kaplan-Meier survival curves; comparing survival in two or more groups.Hazard ratios and the Cox regression model.
  • Systematic review: methods and problems; combining results – meta-analytic

methods.

Reviews of first edition:

His (the author’s) work can be highly recommended for health workers, medical students and any other professionals who are revising statistics or approaching it for the first time.Statistical Methods in Medical Research

This basic book is exciting and fun to read. Information is presented in a digestable and humorous format. Examples are appropriate to each subject area and easily understood. Clinical Trials

  • Contains work-through examples, using up-to-date, illustrative data.
  • Gives insightful examples of the use of the SPSS and Minitab statistics
  • programmes for some common applications.
  • Provides lots of exercises to improve understanding and consolidate learning

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This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.

Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.

Showing you how to:

  • analyse data with the help of data set examples (Click here to download datasets)
  • select the correct statistics and report results for publication or presentation
  • understand and critically appraise results reported in the literature

Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.

Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts

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Medical Statistics Made Easy 2nd edition continues to provide medical students and professionals with the easiest possible explanations of the key statistical techniques used throughout the medical literature. Featuring a new section on Bayesian statistics, and a comprehensive updating of the ‘Statistics at work’ section, this new edition retains a consistent, concise, and user-friendly format. Each technique is graded for ease of use and frequency of appearance in the mainstream medical journals.

Medical Statistics Made Easy 2nd edition is essential reading for anyone looking to understand:

confidence intervals and probability values

numbers needed to treat

t tests and other parametric tests

survival analysis

If you need to understand the medical literature, then you need to read this book

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The get-it-over-with-quickly approach to statistics has been encouraged – and often necessitated – by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses.Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena.Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education

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St. George’s Hospital Medical School, London, UK. Textbook, for medical students, nurses, clinicians, and medical researchers, covers statistical work required for a course in medicine and for the exams of most Royal Colleges. Includes design of clinical trials and epidemiological studies, data collection, and summarizing and presenting data

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Medical Statistics at a Glance provides a concise and accessible introduction and revision aid for undergraduate medical students and anyone wanting a straightforward introduction to this complex subject. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.

This new edition of Medical Statistics at a Glance:

  • Contains a second colour throughout to enhance the visual appeal, making the subject even easier to understand
  • Features worked examples on each topic, with emphasis on computer analysis of data rather than hand calculations
  • Includes new topics on Rates and Poisson regression, Generalised linear models, Explanatory variables in statistical models and Regression models for clustered data.
  • Has an accompanying website http://www.medstatsaag.com/containing supplementary material including multiple choice questions (MCQs) with annotated answers for self-assessment

Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical and pharmaceutical

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High-Yield(TM) Biostatistics, Third Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Points that help students focus on the most important USMLE Step 1 facts. Each chapter includes review questions, and an appendix provides answers with explanations. This updated edition includes additional information on epidemiology/public health. The improved, more readable format features briefer, bulleted paragraphs, more High-Yield Points, and boldfaced

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