Nonparametric Analysis Of Longitudinal Data In Factorial Experiments

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Nonparametric Analysis of Longitudinal Data in Factorial Experiments

Author : Edgar Brunner
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 296 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Nonparametric Analysis of Longitudinal Data in Factorial Experiments by : Edgar Brunner

Download or read book Nonparametric Analysis of Longitudinal Data in Factorial Experiments written by Edgar Brunner and published by Wiley-Interscience. This book was released on 2002 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authoritative reference on nonparametric methods for evaluating longitudinal data in factorial designs Broadening the range of techniques that can be used to evaluate longitudinal data, Nonparametric Analysis of Longitudinal Data in Factorial Experiments presents nonparametric methods of evaluation that supplement the generalized linear models approach. Emphasizing the practical application of these methods in statistical procedures, this book provides a unified approach for the analysis of factorial designs involving longitudinal data that is appropriate for metric data, count data, ordered categorical data, and dichotomous data. Topics covered include nonparametric models, effects and hypotheses in experimental design, estimators for relative effects, experiments for one and several groups of subjects, multifactorial experiments, dependent replications, and experiments with numerous time points. The basic mathematical principles for the methods introduced here are described in theory, consistent with the book's minimal math requirements. Simple approximations for small data sets are provided, as well as ample chapter exercises to test skills, an appendix that includes original data for the examples used throughout the book, and downloadable SAS-IML macros for implementing the more extensive calculations. All applications are designed to be useful in many fields. Generously supplemented with more than 110 graphs and tables, Nonparametric Analysis of Longitudinal Data in Factorial Experiments is an essential reference for statisticians and biometricians, researchers in clinical trials, psychological studies, and in the fields of forestry, agriculture, sociology, ecology, and biology, as well as graduate students in statistics and biostatistics.

Nonparametric Regression Analysis of Longitudinal Data

Author : Hans-Georg Müller
Publisher : Springer
ISBN 13 : 9783540968443
Total Pages : 199 pages
Book Rating : 4.9/5 (684 download)

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Book Synopsis Nonparametric Regression Analysis of Longitudinal Data by : Hans-Georg Müller

Download or read book Nonparametric Regression Analysis of Longitudinal Data written by Hans-Georg Müller and published by Springer. This book was released on 1988-01-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonparametric Models for Longitudinal Data

Author : Colin O. Wu
Publisher : CRC Press
ISBN 13 : 0429939086
Total Pages : 552 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Nonparametric Models for Longitudinal Data by : Colin O. Wu

Download or read book Nonparametric Models for Longitudinal Data written by Colin O. Wu and published by CRC Press. This book was released on 2018-05-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data. This book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are balanced between theoretical and practical topics. The statistical applications in real-life examples lead into meaningful interpretations and inferences. Features: Provides an overview of parametric and semiparametric methods Shows smoothing methods for unstructured nonparametric models Covers structured nonparametric models with time-varying coefficients Discusses nonparametric shared-parameter and mixed-effects models Presents nonparametric models for conditional distributions and functionals Illustrates implementations using R software packages Includes datasets and code in the authors’ website Contains asymptotic results and theoretical derivations

Robust Rank-Based and Nonparametric Methods

Author : Regina Y. Liu
Publisher : Springer
ISBN 13 : 3319390651
Total Pages : 277 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Robust Rank-Based and Nonparametric Methods by : Regina Y. Liu

Download or read book Robust Rank-Based and Nonparametric Methods written by Regina Y. Liu and published by Springer. This book was released on 2016-09-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.

Human-Robot Interaction

Author : Céline Jost
Publisher : Springer Nature
ISBN 13 : 3030423077
Total Pages : 418 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Human-Robot Interaction by : Céline Jost

Download or read book Human-Robot Interaction written by Céline Jost and published by Springer Nature. This book was released on 2020-05-13 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive yet critical overview of methods used to evaluate interaction between humans and social robots. It reviews commonly used evaluation methods, and shows that they are not always suitable for this purpose. Using representative case studies, the book identifies good and bad practices for evaluating human-robot interactions and proposes new standardized processes as well as recommendations, carefully developed on the basis of intensive discussions between specialists in various HRI-related disciplines, e.g. psychology, ethology, ergonomics, sociology, ethnography, robotics, and computer science. The book is the result of a close, long-standing collaboration between the editors and the invited contributors, including, but not limited to, their inspiring discussions at the workshop on Evaluation Methods Standardization for Human-Robot Interaction (EMSHRI), which have been organized yearly since 2015. By highlighting and weighing good and bad practices in evaluation design for HRI, the book will stimulate the scientific community to search for better solutions, take advantages of interdisciplinary collaborations, and encourage the development of new standards to accommodate the growing presence of robots in the day-to-day and social lives of human beings.

Nonparametric Regression Analysis of Longitudinal Data

Author : Hans-Georg Muller
Publisher :
ISBN 13 : 9781461239277
Total Pages : 388 pages
Book Rating : 4.2/5 (392 download)

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Book Synopsis Nonparametric Regression Analysis of Longitudinal Data by : Hans-Georg Muller

Download or read book Nonparametric Regression Analysis of Longitudinal Data written by Hans-Georg Muller and published by . This book was released on 2014-01-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

DNA Microarrays and Related Genomics Techniques

Author : David B. Allison
Publisher : CRC Press
ISBN 13 : 1420028790
Total Pages : 391 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis DNA Microarrays and Related Genomics Techniques by : David B. Allison

Download or read book DNA Microarrays and Related Genomics Techniques written by David B. Allison and published by CRC Press. This book was released on 2005-11-14 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches

Structural Nonparametric Models for the Analysis of Longitudinal Data

Author : Colin O. Wu
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781466516007
Total Pages : 400 pages
Book Rating : 4.5/5 (16 download)

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Book Synopsis Structural Nonparametric Models for the Analysis of Longitudinal Data by : Colin O. Wu

Download or read book Structural Nonparametric Models for the Analysis of Longitudinal Data written by Colin O. Wu and published by Chapman and Hall/CRC. This book was released on 2016-01-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the recent advancement of statistical methods for the analysis of longitudinal data. Real datasets from four large NIH-supported longitudinal clinical trials and epidemiological studies illustrate the practical applications of the statistical methods. This book focuses on the nonparametric approaches, which have gained tremendous popularity in biomedical studies. These approaches have the flexibility to answer many scientific questions that cannot be properly addressed by the existing parametric approaches, such as the linear and nonlinear mixed effects models.

Applied Longitudinal Analysis

Author : Garrett M. Fitzmaurice
Publisher : John Wiley & Sons
ISBN 13 : 9780471214878
Total Pages : 540 pages
Book Rating : 4.2/5 (148 download)

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Book Synopsis Applied Longitudinal Analysis by : Garrett M. Fitzmaurice

Download or read book Applied Longitudinal Analysis written by Garrett M. Fitzmaurice and published by John Wiley & Sons. This book was released on 2004-07 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Modern Statistics for the Social and Behavioral Sciences

Author : Rand Wilcox
Publisher : CRC Press
ISBN 13 : 1498796796
Total Pages : 730 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Modern Statistics for the Social and Behavioral Sciences by : Rand Wilcox

Download or read book Modern Statistics for the Social and Behavioral Sciences written by Rand Wilcox and published by CRC Press. This book was released on 2017-08-15 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.

Analysis of Ordinal Categorical Data

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1118209990
Total Pages : 376 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Analysis of Ordinal Categorical Data by : Alan Agresti

Download or read book Analysis of Ordinal Categorical Data written by Alan Agresti and published by John Wiley & Sons. This book was released on 2012-07-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

Effect Sizes for Research

Author : Robert J. Grissom
Publisher : Routledge
ISBN 13 : 1136632352
Total Pages : 453 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Effect Sizes for Research by : Robert J. Grissom

Download or read book Effect Sizes for Research written by Robert J. Grissom and published by Routledge. This book was released on 2012-04-23 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features numerous examples using real data for a variety of variables and designs, to help readers apply the material to their own data. Tips on the use of SPSS, SAS, R, and S-Plus are provided. The book's broad disciplinary appeal results from its inclusion of a variety of examples from psychology, medicine, education, and other social sciences. Special attention is paid to confidence intervals, the statistical assumptions of the methods, and robust estimators of effect sizes. The extensive reference section is appreciated by all. With more than 40% new material, highlights of the new editon include: three new multivariate chapters covering effect sizes for analysis of covariance, multiple regression/correlation, and multivariate analysis of variance more learning tools in each chapter including introductions, summaries, "Tips and Pitfalls" and more conceptual and computational questions more coverage of univariate effect sizes, confidence intervals, and effect sizes for repeated measures to reflect their increased use in research more software references for calculating effect sizes and their confidence intervals including SPSS, SAS, R, and S-Plus the data used in the book are now provided on the web along with new data and suggested calculations with IBM SPSS syntax for computational practice. Effect Sizes for Research covers standardized and unstandardized differences between means, correlational measures, strength of association, and parametric and nonparametric measures for between- and within-groups data. Intended as a resource for professionals, researchers, and advanced students in a variety of fields, this book is also an excellent supplement for advanced statistics courses in psychology, education, the social sciences, business, and medicine. A prerequisite of introductory statistics through factorial analysis of variance and chi-square is recommended.

Statistics and Data Analysis Literacy for Nurses

Author : James B. Schreiber, PhD
Publisher : Springer Publishing Company
ISBN 13 : 0826165826
Total Pages : 329 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Statistics and Data Analysis Literacy for Nurses by : James B. Schreiber, PhD

Download or read book Statistics and Data Analysis Literacy for Nurses written by James B. Schreiber, PhD and published by Springer Publishing Company. This book was released on 2022-10-31 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes the fear out of statistics through a combination of visual and practical learning! "Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. [This book] fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics." —Mary Ellen Smith Glasgow, PhD, RN, ACNS-BC, ANEF, FAAN Dean and Professor Duquesne University School of Nursing The only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to help students understand difficult analytic information. Modelled on an effective and proven method of learning—graphical illustrations first, technical details second—the text helps students understand appropriate research design, measurement, and analysis of how results are calculated. Providing a gentle progression into the complexities of statistics, it builds upon concepts step-by-step, helping students to reinforce prior knowledge before moving on the new information. Chapters initially focus on the practical application of content to illustrate how statistics are used, followed by working examples—addressing both research and evidence-based content and epidemiology and population health content—to enhance understanding and underscore the importance of the methodology. The book integrates the latest changes from the ASA related to statistical significance tested and addresses recent deliberations about sample size. Abundant Instructor Resources include PowerPoints, a test bank, data sets, information on how to obtain online programming classes, and sample lesson plans and activities. Key Features: Uses a proven, step-by-step method including a graphic representation of data followed by analytic content Follows graphical representation with examples of appropriate research design, measurement, and analysis of how results are calculated Includes a basic review checklist Provides chapter objectives, summaries, review questions, and key terms Offers data sets for those instructors/students who wish to do analyses Addresses SPSS and other software, including open source (JAMOVI, JASP, and R-Studio) Includes a comprehensive Instructor Resource Package to ensure faculty have the tools they need to work with students

Applying Contemporary Statistical Techniques

Author : Rand R. Wilcox
Publisher : Elsevier
ISBN 13 : 0080527515
Total Pages : 608 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Applying Contemporary Statistical Techniques by : Rand R. Wilcox

Download or read book Applying Contemporary Statistical Techniques written by Rand R. Wilcox and published by Elsevier. This book was released on 2003-01-16 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

Statistical Analysis with Missing Data

Author : Roderick J. A. Little
Publisher : John Wiley & Sons
ISBN 13 : 1118625889
Total Pages : 308 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Statistical Analysis with Missing Data by : Roderick J. A. Little

Download or read book Statistical Analysis with Missing Data written by Roderick J. A. Little and published by John Wiley & Sons. This book was released on 2014-08-25 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Emphasizes the latest trends in the field. * Includes a new chapter on evolving methods. * Provides updated or revised material in most of the chapters.

Introduction to Robust Estimation and Hypothesis Testing

Author : Rand R. Wilcox
Publisher : Academic Press
ISBN 13 : 012804781X
Total Pages : 810 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Introduction to Robust Estimation and Hypothesis Testing by : Rand R. Wilcox

Download or read book Introduction to Robust Estimation and Hypothesis Testing written by Rand R. Wilcox and published by Academic Press. This book was released on 2016-09-02 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions. New to this edition 35% revised content Covers many new and improved R functions New techniques that deal with a wide range of situations Extensive revisions to cover the latest developments in robust regression Covers latest improvements in ANOVA Includes newest rank-based methods Describes and illustrated easy to use software

Design and Analysis of Experiments, Volume 2

Author : Klaus Hinkelmann
Publisher : John Wiley & Sons
ISBN 13 : 047170993X
Total Pages : 812 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Design and Analysis of Experiments, Volume 2 by : Klaus Hinkelmann

Download or read book Design and Analysis of Experiments, Volume 2 written by Klaus Hinkelmann and published by John Wiley & Sons. This book was released on 2005-05-13 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development and introduction of new experimental designs in the last fifty years has been quite staggering, brought about largely by an ever-widening field of applications. Design and Analysis of Experiments, Volume 2: Advanced Experimental Design is the second of a two-volume body of work that builds upon the philosophical foundations of experimental design set forth by Oscar Kempthorne half a century ago and updates it with the latest developments in the field. Designed for advanced-level graduate students and industry professionals, this text includes coverage of incomplete block and row-column designs; symmetrical, asymmetrical, and fractional factorial designs; main effect plans and their construction; supersaturated designs; robust design, or Taguchi experiments; lattice designs; and cross-over designs.