This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.

Take the fear out of statistics with this straightforward, practical and applied book on the how and why of using statistics. Introduction to Statistics for Nurses is an essential introductory text for all nursing students coming to statistics for the first time. The nursing profession involves the use of statistics every day, for example in the cases of mortality rates, average life expectancies, percentage recovery rates, average remission times, and the findings of which drugs work best with which illnesses. In fact, all of the policies that surround this job, the treatment strategies, and all the facts described above are derived from the use of statistics. This book will help students to understand the use of statistics in nursing literature, and shows how to use statistics effectively in answering research questions. Case studies throughout show how statistics are applied in nursing research and frequent exercises help to test the reader's knowledge as they progress.

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area

"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.

Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition. Professional nurses must be able to critique and understand the strengths and weakness of statistical design and analysis in order to develop evidence-based practices in a clinical setting. Statistics for Nursing: A Practical Approach teaches nursing students the selection, application, and evaluation of statistical analysis techniques in addition to how to evaluate and apply the results derived from this analysis. Written in a clear, straightforward manner, this comprehensive text includes chapter objectives, a clinical research focus, a research application box, chapter summaries, key terms for each chapter, review questions, application exercises, and much more.

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.

Advanced Statistics for Physical and Occupational Therapy explains the basis for statistical analyses that are commonly used to answer clinical research questions related to physical and occupational therapy. This textbook provides a resource to help students and faculty in physical and occupational therapy graduate programs understand the basis for common statistical analyses and be able to apply these techniques in their own research. This textbook provides readers with the basis for common statistical analyses, including t-tests, analysis of variance, regression, and nonparametric tests. Each chapter includes step-by-step tutorials with corresponding example data sets explaining how to conduct these statistical analyses using Statistical Package for the Social Sciences (SPSS) software and the Excel Analysis ToolPak, as well as how to identify and interpret relevant output and report results. Advanced Statistics for Physical and Occupational Therapy is key reading for students in physical therapy, occupational therapy, sport performance, and sport rehabilitation graduate programs as well as students in athletic training courses, applied statistics in sport, and research methods in sport modules. This new text will also be of interest to practicing clinicians who hope to better understand the research they are reading and/or are interested in starting to conduct their own clinical research.

This work provides a foundation in the statistics portion of nursing. Topics expanded in this edition include reliability analysis, path analysis, measurement error, missing data, and survival analysis.

Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Focusing on the information every nurse should know and capturing cutting-edge advances in a rapidly changing field, this practical text helps students build the communication and information literacy skills they need to integrate informatics into practice. This edition retains the key coverage of the previous edition, including office cloud computing software, interoperability, consumer informatics, telehealth, clinical information systems, social media use guidelines, and software and hardware developments, while offering new information and references throughout. Highlights of the 6th Edition Updated coverage Built-in learning aids Integrated QSEN scenarios Available with CoursePoint for Informatics and Nursing, 6th Edition Combining the world-class content of this text with Lippincott’s innovative learning tools in one easy-to-use digital environment, Lippincott CoursePoint transforms the teaching and learning experience, making the full spectrum of nursing education more approachable than ever for you and your students. This powerful solution is designed for the way students learn, providing didactic content in the context of real-life scenarios—at the exact moments when students are connecting theory to application. Features Create an active learning environment that engages students of various learning styles. Deliver a diverse array of content types—interactive learning modules, quizzes, and more—designed for today's interactive learners. Address core concepts while inspiring critical thinking. Reinforce understanding with instant SmartSense remediation links that connect students to the exact content they need at the precise moment they need it. Analyze results and adapt teaching methods to better meet individual students’ strengths and weaknesses. Empower students to learn at their own pace in an online environment available anytime, anywhere.

Community & Public Health Nursing is designed to provide students a basic grounding in public health nursing principles while emphasizing aggregate-level nursing. While weaving in meaningful examples from practice throughout the text, the authors coach students on how to navigate between conceptualizing about a population-focus while also continuing to advocate and care for individuals, families, and aggregates. This student-friendly, highly illustrated text engages students, and by doing so, eases students into readily applying public health principles along with evidence-based practice, nursing science, and skills that promote health, prevent disease, as well as protect at-risk populations! What the 8th edition of this text does best is assist students in broadening the base of their knowledge and skills that they can employ in both the community and acute care settings, while the newly enhanced ancillary resources offers interactive tools that allow students of all learning styles to master public health nursing.