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Analysis Of Variance And Functional Measurement

Author: David J. Weiss
Publisher: Oxford University Press
ISBN: 0195183150
Size: 37.86 MB
Format: PDF, Mobi
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Clear and straightforward guide to analysis of variance, the backbone of experimental research. Demonstrates how to interpret statistical results and translate them into prose that will clearly tell the audience what the data is saying. End-of-chapter practice problems with suggested answers.

Comparing Clinical Measurement Methods

Author: Bendix Carstensen
Publisher: John Wiley & Sons
ISBN: 1119957540
Size: 54.29 MB
Format: PDF, ePub
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This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement as a starting point, and presents it in a proper statistical framework. The model serves as a reference for reporting sources of variation and for providing conversion equations and plots between methods for practical use, including prediction uncertainty. Presents a modeling framework for analysis of data and reporting of results from comparing measurements from different clinical centers and/or different methods. Provides the practical tools for analyzing method comparison studies along with guidance on what to report and how to plan comparison studies and advice on appropriate software. Illustrated throughout with computer examples in R. Supported by a supplementary website hosting an R-package that performs the major part of the analyses needed in the area. Examples in SAS and Stata for the most common situations are also provided. Written by an acknowledged expert on the subject, with a long standing experience as a biostatistician in a clinical environment and a track record of delivering training on the subject. Biostatisticians, clinicians, medical researchers and practitioners involved in research and analysis of measurement methods and laboratory investigations will benefit from this book. Students of statistics, biostatistics, and the chemical sciences will also find this book useful.

Health Measurement Scales

Author: David L. Streiner
Publisher: OUP Oxford
ISBN: 0191508330
Size: 46.26 MB
Format: PDF
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Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fifth edition of Health Measurement Scales enables these groups to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. Health Measurement Scales is the ultimate guide to developing and validating measurement scales that are to be used in the health sciences. The book covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis, making this book a must-read for any practitioner dealing with this kind of data.

Managing Six Sigma

Author: Forrest W. Breyfogle, III
Publisher: John Wiley & Sons
ISBN: 9780471396734
Size: 52.60 MB
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Advance Praise for Managing Six Sigma "This book is a unique blend of practical knowledge and cultural change, revolution and evolution strategies. I recommend that serious managers buy the book, spend some serious time reading, and then go out and use its lessons to make a name for themselves."-William Baker, Benchmarking/Knowledge Transfer Office, Raytheon Corporation "I believe Managing Six Sigma will be the new reference standard for the quality movement in coming years."-Robert T. Hunter, Executive Vice President, Rehnborg Center for Nutrition and Wellness "[The authors'] step-by-step process for integrating the tools of Six Sigma takes the mystery out of this methodology and, by itself, makes this book worth having."-Dennis Adsit, PhD, Vice President, Quality, Intuit "Breyfogle's Six Sigma deployment methodology is explained in detail for four different business processes: manufacturing, service, transactional, and development. . . . His 21-step plan for each business process is explained in a way that allows any type of company to perform a successful implementation."-Mark Feller, Director of Quality, Baker Electronics "Breyfogle teaches not only the wider application but also the deeper implications and in-depth implementation of Six Sigma deployment in organizations large and small."-Ram Josyula, President, gelrad.com Managing Six Sigma is the only book that provides both detailed coverage of Six Sigma techniques and effective methods for managing those who implement Six Sigma. With real-world case studies recounting the triumphs and pitfalls encountered during successful implementations at Motorola and General Electric-plus plans, checklists, and metrics to speed up the implementation process-this rich resource helps managers solve problems effectively and ensure a fast, smooth, and successful Six Sigma implementation.

Practical Guide To Image Analysis

Author: ASM International
Publisher: ASM International
ISBN: 1615032371
Size: 13.71 MB
Format: PDF, ePub
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Nine international specialists contribute information about the use of image analysis procedures to evaluate microstructural features. Coverage includes an historical overview of how quantitative image analysis developed; the evolution of current television computer-based analysis systems; the scien

Applied Longitudinal Data Analysis For Epidemiology

Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 9780521525800
Size: 30.75 MB
Format: PDF, Mobi
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The most important techniques available for longitudinal data analysis are discussed in this book. The discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalized estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. This practical guide is especially suitable for non-statisticians and all those undertaking medical research or epidemiological studies.

Pharmaceutical Statistics Using Sas

Author: Alex Dmitrienko
Publisher: SAS Institute
ISBN: 1599943573
Size: 12.65 MB
Format: PDF, Mobi
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Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.

Longitudinal Data Analysis

Author: Jason Newsom
Publisher: Routledge
ISBN: 1136705465
Size: 25.69 MB
Format: PDF, Kindle
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This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.