Category: Medical Statistics

Oxford Handbook of Medical Statistics (Oxford Medical Handbooks) 2nd Edition

Oxford Handbook of Medical Statistics (Oxford Medical Handbooks) 2nd Edition

A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject.

Described by readers as a ‘statistical Bible’, this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The Handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics.

Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others’ work.

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Basic & Clinical Biostatistics 5th Edition

Basic & Clinical Biostatistics 5th Edition

Basic & Clinical Biostatistics 5th Edition

Basic & Clinical Biostatistics provides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data applicable to clinical care. This fifth edition has been updated throughout to deliver a comprehensive, timely introduction to biostatistics and epidemiology as applied to medicine, clinical practice, and research. Particular emphasis is on study design and interpretation of results of research.

The book features “Presenting Problems” drawn from studies published in the medical literature, end-of-chapter exercises, and a reorganization of content to reflect the way investigators ask research questions. To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed.

Features:

•  Key components include a chapter on survey research and expanded discussion
of logistic regression, the Cox model, and other multivariate statistical methods
•  Extensive examples illustrate statistical methods and design issues
•  Updated examples using R, an open source statistical software package
•  Expanded coverage of data visualization, including content on visual perception
and discussion of tools such as Tableau, Qlik and MS Power BI
•  Sampling and power calculations imbedded with discussion of the statistical model
•  Updated content, examples, and data sets throughout

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Research Impact: Guidance on Advancement, Achievement and Assessment

Research Impact: Guidance on Advancement, Achievement and Assessment 

Research Impact: Guidance on Advancement

Research for research sake is no longer tenable or affordable; to be valuable to society, research must have impact! This textbook takes the reader on a journey from how the UK Research Excellence Framework assesses impact to real examples of outstanding research impact case studies. Along the way, Prof. Hugh McKenna describes and explains the case for research impact, the challenges, the link between research impact and evidence informed practice, achieving impact through changing policy and engaging with the public, how researchers can make their research findings more impactful and how research impact is assessment nationally and internationallyIt is written in an easily accessible and understandable style, with reflective exercises amply distributed throughout its pages and helpful guides helping to engage readers and notably health professionals who are often turned off by the normal heavy research tomes.

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This book makes the complex simple and the wearisome fascinating. The short chapters are interesting and authoritative and can be read on a ‘standalone’ basis, allowing readers to ‘dip in and out’.From his experience in various countries, the author has a unique insight into what research impact is, how it is assessed and how and where research findings can have the most benefit. The stimulus for this book has been the excellent feedback that the author has received from health professionals, students and fellow researchers. There is always a risk that good knowledge and experience do not transfer well into a good textbook. In Research Impact: Guidance on Advancement, Achievement and Assessment, nothing has been lost in the transition.

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Medical Statistics from Scratch: An Introduction for Health Professionals 4th Edition

Medical Statistics from Scratch: An Introduction for Health Professionals 4th Edition

Medical Statistics from Scratch: An Introduction for Health Professionals 4th Edition

In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real-world examples and cases drawn from current medical literature.

Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.

 

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Data Interpretation for Medical Students

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Data Interpretation for Medical Students Second Edition contains subject-basedchapters giving guidance on how to interpret relevant data accompanied by detailednotes on a multitude of conditions. A batch of cases to support learning and demonstrate how the data is applied in practice is provided at the end of each chapter. The Imaging chapter has been completely revamped providing the reader with a symptombased approach to reflect real life medicine. Instructional methods to interpretation and clinical cases are illustrated with high quality images. You can choose to work case-by-case through the whole book slowly building your knowledge and confidence, or adopt a more focused, time-sensitive, approach selecting specific areas of study. Complete your revision by answering the complete clinical cases, carefully chosen bythe authors to reinforce learning.

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Clinical and Statistical Considerations in Personalized Medicine (Chapman & Hall/CRC Biostatistics Series)

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The Future of Clinical Research and Health Care: From Empirical to Precision Medicine
Clinical and Statistical Considerations in Personalized Medicine explores recent advances related to biomarkers and their translation into clinical development. Leading clinicians, biostatisticians, regulators, commercial professionals, and researchers address the opportunities and challenges in successfully applying biomarkers in drug discovery and preclinical and clinical development.

Robust Biomarkers for Drug Development and Disease Treatment
The first four chapters discuss biomarker development from a clinical perspective. Coverage ranges from an introduction to biomarkers to advances in RNAi screens, epigenetics, and rare diseases as targets for personalized medicine approaches. Subsequent chapters examine the statistical considerations in applying a personalized medicine approach, including multiplicity in pharmacogenomics. The last chapter assesses the regulatory issues involved in using biomarkers.

Improve Patient Care and Reduce Costs and Side Effects
Despite the vast amount of literature on biomarkers, there is no comprehensive book that integrates the clinical and statistical components. This book is one of the first to incorporate both the clinical and statistical aspects of biomarkers in the personalized medicine paradigm. Covering a wide spectrum of personalized medicine-related topics, it presents state-of-the-art techniques for advancing the application of biomarkers in drug discovery and development.

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High-Yield™ Biostatistics (High-Yield Series) Second Edition

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Part of the successful High-Yield™ Series, High-Yield™ Biostatistics, Second Edition explains concepts, provides examples, and covers the complete range of biostatistics material that can be expected to appear on the USMLE Step 1. New to this edition are references to evidence-based medicine, and information updated to reflect changes in the current USMLE examinations.

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Medical Statistics from Scratch: An Introduction for Health Professionals 3rd Edition

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Correctly understanding and using medical statistics is a key skill for all medical students and health professionals.

In an informal and friendly style, Medical Statistics from Scratch provides a practical foundation for everyone whose first interest is probably not medical statistics. Keeping the level of mathematics to a minimum, it clearly illustrates statistical concepts and practice with numerous real world examples and cases drawn from current medical literature.

This fully revised and updated third edition includes new material on:

  • missing data, random allocation and concealment of data
  • intra-class correlation coefficient
  • effect modification and interaction
  • diagnostic testing and the ROC curve
  • standardisation

Medical Statistics from Scratch is an ideal learning partner for all medical students and health professionals needing an accessible introduction, or a friendly refresher, to the fundamentals of medical statistics.

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Statistics in Medicine, Third Edition 3rd Edition

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Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses.

  • User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines
  • Facilitates stand-alone methods rather than a required sequence of reading and references to prior text
  • Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology
  • Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research

New in this Edition:

 

  • New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys
  • New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression
  • Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis
  • 35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642
  • Medical subject index offers additional search capabilities

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Basic Statistics: A Primer for the Biomedical Sciences 4th Edition

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In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis.

Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include:

  • A new chapter on data collection that outlines the initial steps in planning biomedical and public health studies
  • A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test
  • An updated introduction to survival analysis that includes the Kaplan Meier method for graphing the survival function and a brief introduction to tests for comparing survival functions
  • Incorporation of modern statistical software, such as SAS, Stata, SPSS, and Minitab into the presented discussion of data analysis
  • Updated references at the end of each chapter

Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.

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