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Author: John Maltby
Publisher: Routledge
ISBN: 1317904346
Category : Medical
Languages : en
Pages : 287
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Book Description
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.
Author: John Maltby
Publisher: Routledge
ISBN: 1317904346
Category : Medical
Languages : en
Pages : 287
Get Book Here
Book Description
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.
Author: Elizabeth Heavey
Publisher: Jones & Bartlett Learning
ISBN: 1284289532
Category : Medical
Languages : en
Pages : 267
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Book Description
Nurses are leveraging new technologies to interpret and analyze clinical data. Understanding how to use that information and make appropriate clinical decisions are vital to their role and proper patient care. Statistics for Nursing: A Practical Approach, Fourth Edition presents the complicated topic of statistics in an understandable manner, so students are prepared to start their career no matter the setting. Relevant clinical examples followed by end of chapter application exercises, provide students the opportunity to practice statistics while learning. The Fourth Edition introduces Intellectus Statistics, a web-based statistical software program designed to help non-statisticians learn to conduct research and complete statistical analyses appropriately. Often, computer applications are the most stressful part of learning statistics. This program simplifies the process of learning the software while helping students produce and understand the actual statistics content.
Author: Stacey Beth Plichta
Publisher: Lippincott Williams & Wilkins
ISBN: 9780781754590
Category : Medical
Languages : en
Pages : 436
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Book Description
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.
Author: John Maltby
Publisher: Routledge
ISBN: 1317904338
Category : Medical
Languages : en
Pages : 343
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Book Description
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.
Author: Louise Marston
Publisher: SAGE Publications
ISBN: 1847874835
Category : Medical
Languages : en
Pages : 265
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Book Description
With the inclusion of real-world data and a host of health-related examples, this is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples. What’s more, its content will fit ideally with the common course content of stats courses in the field.
Author: Manfred Stommel, PhD
Publisher: Springer Publishing Company
ISBN: 0826198252
Category : Medical
Languages : en
Pages : 350
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Book Description
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 clinical research articles that use increasingly complex statistical techniques. It addresses clinically relevant topics in biostatistics beyond the usual introduction to linear models, such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical inference and statistical models to support correct interpretation and effective translation into practice. It promotes appropriate statistical method selection for conducting 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. The appendix provides refreshers on the algebraic underpinnings of statistics. More complex algebraic derivations are highlighted in boxes throughout the text chapters. The text explains how to work with the exponential expressions and logarithms necessary for the interpretation of logistic and hazard regression models and features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters include examples from current research and multiple exercises designed to reinforce learning. Key Features: End-of-chapter exercises include both problems of interpretation and numerical problems that can be solved via hand calculations. For instructors and students interested in practical data analysis, data sets and practice problems are available from Springer Publishing Companyís website with instructions in SPSS, STATA, and SAS formats. At the end of each chapter is a ìLiterature Applicationî text box with interpretation questions about a recent research article that highlights the statistical model discussed in the chapter. Throughout the book, text boxes highlight the most important algebraic formulas useful in interpreting statistical methods. A chapter on data management practices and ethical issues of privacy maintenance is included. Nine appendices provide tables of major probability distributions, for example, normal, t- and F-distributions, and algebraic derivations of some of the most important results in statistics.
Author: Rajesh Kumar
Publisher: Jaypee Brothers Medical Publishers
ISBN: 9352707613
Category : Medical
Languages : en
Pages : 396
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Book Description
1 Introduction to Nursing Research 2 Research Problem, Research Question and Hypothesis 3 The Research Process: An Overview 4 Ethical Issues in Research 5 Review of Literature 6 Theories and Conceptual Models in Research 7 Research Designs 8 Sample and Sampling Techniques 9 Data Collection Methods in Research 10 Data Analysis and Interpretation 11 Communication and Dissemination of Research Findings 12 Introduction to Statistics Appendices Glossary Index
Author: Ian Scott
Publisher: SAGE
ISBN: 9780761974765
Category : Mathematics
Languages : en
Pages : 252
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Book Description
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
Author: Suresh Sharma
Publisher: Elsevier Health Sciences
ISBN: 8131237869
Category : Medical
Languages : en
Pages : 535
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Book Description
Nursing Research and Statistics
Author: Martin Bland
Publisher: Oxford University Press
ISBN: 0192518399
Category : Medical
Languages : en
Pages : 737
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Book Description
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
