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Statistical Tools for Measuring Agreement

Statistical Tools for Measuring Agreement Author Lawrence Lin
ISBN-10 9781461405627
Release 2012-10-30
Pages 161
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Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statistical process control, goodness-of-fit, and individual bioequivalence. Successful applications in these situations require a sound understanding of both the underlying theory and methodological advances in handling real-life problems. This book seeks to effectively blend theory and applications while presenting readers with many practical examples. For instance, in the medical device environment, it is important to know if the newly established lab can reproduce the instrument/assay results from the established but outdating lab. When there is a disagreement, it is important to differentiate the sources of disagreement. In addition to agreement coefficients, accuracy and precision coefficients are introduced and utilized to characterize these sources. This book will appeal to a broad range of statisticians, researchers, practitioners and students, in areas of biomedical devices, psychology, medical research, and others, in which agreement assessment are needed. Many practical illustrative examples will be presented throughout the book in a wide variety of situations for continuous and categorical data.



Measuring Agreement

Measuring Agreement Author Pankaj K. Choudhary
ISBN-10 9781118553244
Release 2018-01-25
Pages 352
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Measuring Agreement has been writing in one form or another for most of life. You can find so many inspiration from Measuring Agreement also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Measuring Agreement book for free.



Applied Statistical Methods

Applied Statistical Methods Author Irving W. Burr
ISBN-10 9781483277868
Release 2014-05-10
Pages 500
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Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.



Advances in Ranking and Selection Multiple Comparisons and Reliability

Advances in Ranking and Selection  Multiple Comparisons  and Reliability Author N. Balakrishnan
ISBN-10 9780817644222
Release 2007-12-28
Pages 412
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S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.



Statistical Methods for Ranking Data

Statistical Methods for Ranking Data Author Mayer Alvo
ISBN-10 9781493914715
Release 2014-09-02
Pages 273
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This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis. This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.



Statistics in a Nutshell

Statistics in a Nutshell Author Sarah Boslaugh
ISBN-10 9781449316822
Release 2012-11-15
Pages 569
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A clear and concise introduction and reference for anyone new to the subject of statistics.



Statistical Methods for Psychology

Statistical Methods for Psychology Author David Howell
ISBN-10 9781111835484
Release 2012-01-01
Pages 792
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STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book’s success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics--reflecting the evolving realm of statistical methods--include effect size, meta-analysis, and treatment of missing data. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Practical Statistics for Medical Research

Practical Statistics for Medical Research Author Douglas G. Altman
ISBN-10 0412276305
Release 1990-11-22
Pages 624
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Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. 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. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.



Measuring Agreement

Measuring Agreement Author Pankaj K. Choudhary
ISBN-10 9781118553244
Release 2018-01-25
Pages 352
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Measuring Agreement has been writing in one form or another for most of life. You can find so many inspiration from Measuring Agreement also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Measuring Agreement book for free.



Using and Understanding Medical Statistics

Using and Understanding Medical Statistics Author D.E. Matthews
ISBN-10 9783318054590
Release 2015-07-01
Pages 338
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The fifth revised edition of this highly successful book presents the most extensive enhancement since Using and Understanding Medical Statistics was first published 30 years ago. Without question, the single greatest change has been the inclusion of source code, together with selected output, for the award-winning, open-source, statistical package known as R. This innovation has enabled the authors to de-emphasize formulae and calculations, and let software do all of the ‘heavy lifting’. This edition also introduces readers to several graphical statistical tools, such as Q-Q plots to check normality, residual plots for multiple regression models, funnel plots to detect publication bias in a meta-analysis and Bland-Altman plots for assessing agreement in clinical measurements. New examples that better serve the expository goals have been added to a half-dozen chapters. In addition, there are new sections describing exact confidence bands for the Kaplan-Meier estimator, as well as negative binomial and zero-inflated Poisson regression models for over-dispersed count data. The end result is not only an excellent introduction to medical statistics, but also an invaluable reference for every discerning reader of medical research literature.



Handbook of Applied Multivariate Statistics and Mathematical Modeling

Handbook of Applied Multivariate Statistics and Mathematical Modeling Author Howard E.A. Tinsley
ISBN-10 0080533566
Release 2000-05-22
Pages 721
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Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.



Statistical methods for rates and proportions

Statistical methods for rates and proportions Author Joseph L. Fleiss
ISBN-10 UCAL:B4420463
Release 1973
Pages 223
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Includes a new chapter on logistic regression. Discusses the design and analysis of random trials. Explores the latest applications of sample size tables. Contains a new section on binomial distribution.



Statistics in Medicine

Statistics in Medicine Author Robert H. Riffenburgh
ISBN-10 9780123848659
Release 2012-08-13
Pages 738
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Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses. User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines Facilitates stand-alone methods rather than a required sequence of reading and references to prior text Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research New in this Edition: New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis 35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642 Medical subject index offers additional search capabilities



Statistical Models for Proportions and Probabilities

Statistical Models for Proportions and Probabilities Author George A.F. Seber
ISBN-10 9783642390418
Release 2013-07-30
Pages 69
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​Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician’s toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the topic and presents both exact methods and helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.



Statistics for the Health Sciences

Statistics for the Health Sciences Author Christine Dancey
ISBN-10 9781446291238
Release 2012-03-19
Pages 584
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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.



Measures of Association

Measures of Association Author Albert M. Liebetrau
ISBN-10 0803919743
Release 1983-04-01
Pages 95
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Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches.



Measuring Health

Measuring Health Author Ian McDowell
ISBN-10 0199725306
Release 2006-03-09
Pages 768
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Worldwide economic constraints on health care systems have highlighted the importance of evidence-based medicine and evidence-based health policy. The resulting clinical trials and health services research studies require instruments to monitor the outcomes of care and the output of the health system. However, the over-abundance of competing measurement scales can make choosing a measure difficult at best. Measuring Health provides in-depth reviews of over 100 of the leading health measurement tools and serves as a guide for choosing among them.LNow in its third edition, this book provides a critical overview of the field of health measurement, with a technical introduction and discussion of the history and future directions for the field. This latest edition updates the information on each of the measures previously reviewed, and includes a complete new chapter on anxiety measurement to accompany the one on depression. It has also added new instruments to those previously reviewed in each of the chapters in the book.LChapters cover measurements of physical disability, social health, psychological well-being, anxiety, depression, mental status testing, pain, general health status and quality of life. Each chapter presents a tabular comparison of the quality of the instruments reviewed, followed by a detailed description of each method, covering its purpose and conceptual basis, its reliability and validity and, where possible, shows a copy of the actual scale. To ensure accuracy of the information, each review has been approved by the original author of each instrument or by an acknowledged expert.