Methods And Applications Of Statistics In The Life And Health Sciences
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Applied Statistical Methods In Agriculture Health And Life Sciences
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Author : Bayo Lawal
language : en
Publisher: Springer
Release Date : 2014-09-15
Applied Statistical Methods In Agriculture Health And Life Sciences written by Bayo Lawal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-15 with Medical categories.
This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter.
Methods And Applications Of Statistics In The Life And Health Sciences
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Author : N. Balakrishnan
language : en
Publisher:
Release Date : 2010
Methods And Applications Of Statistics In The Life And Health Sciences written by N. Balakrishnan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Life sciences categories.
Using And Interpreting Statistics In The Social Behavioral And Health Sciences
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Author : William E. Wagner, III
language : en
Publisher: SAGE Publications
Release Date : 2018-02-28
Using And Interpreting Statistics In The Social Behavioral And Health Sciences written by William E. Wagner, III and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Social Science categories.
Using and Interpreting Statistics in the Social, Behavioral, and Health Sciences is designed to be paired with any undergraduate introduction to research methods text used by students in a variety of disciplines. It introduces students to statistics at the conceptual level—examining the meaning of statistics, and why researchers use a particular statistical technique, rather than computational skills. Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.
Biostatistics
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Author : Wayne W. Daniel
language : en
Publisher: John Wiley & Sons
Release Date : 2018-11-13
Biostatistics written by Wayne W. Daniel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Medical categories.
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.
Advanced Medical Statistics 2nd Edition
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Author : Ying Lu
language : en
Publisher: World Scientific
Release Date : 2015-06-29
Advanced Medical Statistics 2nd Edition written by Ying Lu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Medical categories.
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
Statistical Methods For Dynamic Treatment Regimes
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Author : Bibhas Chakraborty
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-07-23
Statistical Methods For Dynamic Treatment Regimes written by Bibhas Chakraborty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-23 with Medical categories.
Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medical paradigm that emphasizes the systematic use of individual patient information to optimize patient health care. This is the first single source to provide an overview of methodology and results gathered from journals, proceedings, and technical reports with the goal of orienting researchers to the field. The first chapter establishes context for the statistical reader in the landscape of personalized medicine. Readers need only have familiarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors provide analytic approaches in sufficient detail that any researcher with knowledge of statistical programming could implement the methods from scratch. This will be an important volume for a wide range of researchers, including statisticians, epidemiologists, medical researchers, and machine learning researchers interested in medical applications. Advanced graduate students in statistics and biostatistics will also find material in Statistical Methods for Dynamic Treatment Regimes to be a critical part of their studies.
Statistics For The Health Sciences
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Author : Christine Dancey
language : en
Publisher: SAGE
Release Date : 2012-03-19
Statistics For The Health Sciences written by Christine Dancey and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-19 with Social Science categories.
Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.
Qualitative And Quantitative Methods In Libraries Theory And Application Proceedings Of The International Conference On Qqml2009
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Author : Anthi Katsirikou
language : en
Publisher: World Scientific
Release Date : 2010-01-18
Qualitative And Quantitative Methods In Libraries Theory And Application Proceedings Of The International Conference On Qqml2009 written by Anthi Katsirikou and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-18 with Education categories.
This volume is a valuable resource of research papers and applications presented at the Qualitative and Quantitative Methods in Libraries International Conference QQML2009, on the methodological tools used in library and information science. It provides the reader with a better understanding and holistic view on the subject and contains a plethora of invaluable methodologies and applications to a variety of information and library science. Qualitative and Quantitative Methods in Libraries will be suitable to students as a textbook, as well as to scientists and professionals.
Computational Intelligence In Healthcare 4
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Author : Isabelle Bichindaritz
language : en
Publisher: Springer
Release Date : 2010-10-05
Computational Intelligence In Healthcare 4 written by Isabelle Bichindaritz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-05 with Technology & Engineering categories.
Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.
Statistics For Health Care Professionals
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Author : Ian Scott
language : en
Publisher: SAGE
Release Date : 2005-01-13
Statistics For Health Care Professionals written by Ian Scott and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-13 with Medical categories.
Statistics for Health Care Professionals is an accessible guide to understanding statistics within health care practice. Focusing on quantitative approaches to investigating problems, the book introduces the basic rules and principles of statistics. Challenging the notion that statistics are often incomprehensible and complex to use, the authors begin by presenting a `how to' section explaining how specific statistical tests can be performed. They also help readers to understand the language of statistics, which is often a stumbling block for those coming to the subject for the first time. The reader is taught how to calculate statistics by hand as well as being introduced to computer packages to make life easier, and then how to analyse these results. As the results of health care research are so integral to decision-making and developing new practice within the profession, the book encourages the reader to think critically about data analysis and research design, and how these can impact upon evidence based practice. This critical stance is also crucial in the assessment of the many reports and documents issued within the health industry. Statistics for Health Care Professionals includes practical examples of statistical techniques throughout, and the exercises within and at the end of each chapter help readers to learn and to develop proficiency. There is also a glossary at the end of the book for quick and easy referencing. This book is essential reading for those coming to statistics for the first time within a health care setting.