Practical Statistics for Medical Research PDF Download

Author: Douglas G. Altman
Publisher: CRC Press
ISBN: 1000228819
Category : Mathematics
Languages : en
Pages : 624

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Book Description
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
ISBN: 1491952911
Category : Computers
Languages : en
Pages : 322

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Book Description
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Author: Peter Martin
Publisher:
ISBN: 9780170089760
Category : Medical statistics
Languages : en
Pages : 274

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Book Description
This is a text written specifically for nursing and other health science students, especially those with limited mathematical backgrounds. The text provides an introduction to statistics and should help demystify an area that students frequently find intimidating. This text should prepare students to both conduct and evaluate research. An introduction to the role and importance of computers in the research process is also provided via integrated examples using Minitab. It is written in plain English with numerous exercises and examples related specifically to common nursing/health issues and phenomena.

Author: Seyed Hassan Saneii
Publisher: Springer Nature
ISBN: 981973083X
Category :
Languages : en
Pages : 384

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Book Description

Author: David Kremelberg
Publisher: SAGE Publications
ISBN: 1483350134
Category : Social Science
Languages : en
Pages : 529

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Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

Author: Lakshmi Padgett
Publisher: CRC Press
ISBN: 1439812543
Category : Mathematics
Languages : en
Pages : 304

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Book Description
Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS program

Author: Herschel Knapp
Publisher: SAGE Publications
ISBN: 1506325696
Category : Medical
Languages : en
Pages : 387

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Book Description
A friendly and approachable guide to real-world statistics, Practical Statistics for Nursing Using SPSS® covers the most common statistical functions in nursing science using plain language. Students learn by doing, and an emphasis on this practical approach is seen throughout the book with each chapter structured to answer key questions: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Practice exercises include a vignette, codebook, and data sets ready for processing, enabling students to achieve mastery by carrying out actual statistical analyses. Online resources for students are available and include data sets for examples and exercises, fully developed solutions to all odd-numbered exercises, and thorough tutorial videos providing an overview of each statistical method, step-by-step guidance on SPSS® processing, and interpretation of results. Online resources for instructors include Microsoft® PowerPoint® slides for each chapter and solutions to all exercises.

Author: Stephen McKenzie
Publisher: Elsevier Health Sciences
ISBN: 0729581497
Category : Medical
Languages : en
Pages : 249

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Book Description
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: - How data relates to information, and how information relates to knowledge - How to use statistics to distinguish information from disinformation - The importance of probability, in statistics and in life - That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be - How to appropriately apply and interpret statistical measures of difference and association - How qualitative and quantitative methods differ, and when it's appropriate to use each - The special statistical needs of the health sciences, and some especially health science relevant statistics - The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses - Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. - Reader-friendly writing style - t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula - Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

Author: Richard J. Holden
Publisher: CRC Press
ISBN: 100035881X
Category : Technology & Engineering
Languages : en
Pages : 309

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Book Description
Patients are increasingly encouraged to take an active role in managing their health and health care. New technologies, cultural shifts, trends in healthcare delivery, and policies have brought to the forefront the "work" patients, families, and other non-professionals perform in pursuit of health. Volume I provides a theoretical and methodological foundation for the emerging discipline of Patient Ergonomics – the science of patient work. The Patient Factor: Theories and Methods for Patient Ergonomics, Volume I defines Patient Ergonomics, explains its importance, and situates it in a broader historical and societal context. It reviews applicable theories and methods from human factors/ergonomics and related disciplines, across domains including consumer technology, patient-professional communication, self-care, and patient safety. The Patient Factor is ideal for academics working in health care and patient-centered research, their students, human factors practitioners working in healthcare organizations or at technology companies, frontline healthcare professionals, and leaders of healthcare delivery organizations.

Author: Michael R. Chernick
Publisher: John Wiley & Sons
ISBN: 0471458651
Category : Mathematics
Languages : en
Pages : 426

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Book Description
"Introductory Biostatistics for the Health Sciences" ist eine fundierte Einführung in die Biostatistik und ihre Anwendungsgebiete. Der Band richtet sich vorwiegend an Mediziner und Statistiker. Theorie und Praxis stehen im ausgewogenen Verhältnis, d.h. praktische Anwendungen werden, wo nötig, durch den theoretischen Hintergrund ergänzt. Der Schwerpunkt liegt eindeutig auf der praktischen Anwendung. Der Band geht auch auf jüngste Fortschritte bei der Bootstrap-, Outlier- und Meta-Analyse ein, Themen, die in der Regel in Konkurrenzwerken, nicht behandelt werden. Mit einer Fülle von Übungsaufgaben. Auch Statistiksoftware wird ausführlich besprochen.