Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.
Автор: Stommel Manfred, Dontje Katherine J. Название: Statistics for Advanced Practice Nurses and Health Professionals ISBN: 0826198244 ISBN-13(EAN): 9780826198242 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of articles in clinical journals that use increasingly complex statistical techniques. It goes beyond the usual offerings of such texts to address clinically relevant topics in bio-statistics such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical texts and models in order to correctly interpret them and effectively translate them into practice. It will also help readers to choose appropriate statistical methods for conducting their own translational research.With a focus on disseminating information in easily understandable language, the text addresses basic statistical reasoning and four different classes of statistical models. It provides refreshers on the algebraic underpinnings of statistics in the appendices and more complex algebraic derivations in highlighted boxes throughout the text. This includes how to manipulate the exponential expressions and logarithms necessary for logistic and hazard regression models. The book also features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters present examples from current research and multiple exercises designed to reinforce learning. These include both hand calculations and data analysis using SPSS or STATA software. Additionally, data sets for practice are available from the Springer Publishing website with instructions for producing output shown in the text in SPSS, STATA, SAS, and Microsoft Excel formats. A chapter on data management practices and ethical issues of privacy maintenance is also included.Key Features:Covers bio-statistics especially relevant to nursing research such as survival analysis and evaluation of screening testsIncludes research examples from current literature in highlighted boxesPresents text boxes with algebraic derivations useful to interpreting statistical methodsProvides digital examples for SPSS and STATA with instructions on how to produce output included in textOffers end-of-chapter exercises involving hand calculations and data analysis using SPSS, STATA, and other software formats
Автор: Bland, Martin (Professor of Health Statistics, Professor of Health Statistics, University of York) Название: An Introduction to Medical Statistics 4th Edition ISBN: 0199589925 ISBN-13(EAN): 9780199589920 Издательство: Oxford Academ Рейтинг: Цена: 8395.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Medical Statistics, fourth edition, is a `must-have` textbook. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the common statistical methods seen in published research and guidelines, as well as how to interpret and analyse statistics for clinical practice.
Описание: Biosimilars have the potential to change the way we think about, identify, and manage health problems. They are already impacting both clinical research and patient care, and this impact will only grow as our understanding and technologies improve. Written by a team of experienced specialists in clinical development, this book discusses various potential drug development strategies, the design and analysis of pharmacokinetics (PK) studies, and the design and analysis of efficacy studies.
Автор: Scott I & Mazhindu D Название: Statistics for Healthcare Professionals: Second Edition ISBN: 1446208931 ISBN-13(EAN): 9781446208939 Издательство: Sage Publications Рейтинг: Цена: 7285.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `This is a really good text which will support students through their dissertation proposal and project. It covers statistics in a simple understandable way` - Mrs Pamela Williams, School of Human & Health Sciences, Huddersfield University
Описание: Demystify The Research Process And Empowers Your Students To Conduct Their Own Original Research Projects With This Clear, Practical, And Straightforward Text. In Five Sections, Introduction To Health Research Methods Describes The Entire Research Process Beginning With The Identification Of A Research Question And The Selection Of A Study Approach, Proceeding Through The Collection And Analysis Of Data And The Preparation Of A Formal Scientific Report, And Ending With Academic And Professional Presentations And Publishing. By Breaking The Research Process Down Into Manageable Steps, Introduction To Health Research Methods Communicates The Excitement And Importance Of Health Research—And Encourages Readers To Make Their Own Contribution To Improving The Health Of Individuals And Communities Through Research. The Second Edition Is A Thorough Update That Offers: •NEW Chapter On Research Funding That Explains How To Find Grant Opportunities, Write Proposals, And Manage Grants •Many New Examples Of Research Types Such As Monitoring And Evaluation (M&E) And Health Services Research •Coverage Of New Topics Including Professional Organizations And Professional Development Opportunities, Qualitative Studies, Big Data, And Health Informatics •Expanded Coverage Of Research Ethics And Laws •A Comprehensive Walk Through Of Key Writing Strategies That Includes Timelines For Abstract Submission, Conference Presentations, And Article Submissions •Improved And Expanded Coverage Of Tertiary Analyses To Include Examples Of Eligibility Criteria, Quality Assessment, And Qualitative And Quantitative Analysis Methods
Автор: William H. Wiist, Shelley K. White Название: Preventing War and Promoting Peace: A Guide for Health Professionals ISBN: 1316601641 ISBN-13(EAN): 9781316601648 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book emphasizes the underlying preventable causes of war, particularly militarism, and focuses on the methods health professionals can use to prevent war. It provides a broad perspective of war and health, with an emphasis on actively engaging to prevent the underlying, politically-charged causes of war.
A Hands-On Approach to Teaching Introductory Statistics
Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.
New to the Second Edition
A new chapter on non-linear regression models
A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken
Additional exercises in most chapters
A summary of statistical formulas related to the specific designs used to teach the statistical concepts
This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences.
Автор: Murrell Название: Introduction to Data Technologies ISBN: 1138118028 ISBN-13(EAN): 9781138118027 Издательство: Taylor&Francis Рейтинг: Цена: 11482.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve their awareness of what tasks can be achieved and describes the correct approach to perform these tasks.
Practical examples demonstrate the most important points The author first discusses how to write computer code using HTML as a concrete example. He then covers a variety of data storage topics, including different file formats, XML, and the structure and design issues of relational databases. After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data. It also introduces some very basic programming concepts as well as the R language for statistical computing. Each of these topics has supporting chapters that offer reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions.
One-stop shop of introductory computing information Written by a member of the R Development Core Team, this resource shows readers how to apply data technologies to tasks within a research setting. Collecting material otherwise scattered across many books and the web, it explores how to publish information via the web, how to access information stored in different formats, and how to write small programs to automate simple, repetitive tasks.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
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