Analysis Of Repeated Measures

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Analysis of Repeated Measures Data

Author : M. Ataharul Islam,Rafiqul I Chowdhury
Publisher : Springer
Page : 250 pages
File Size : 41,5 Mb
Release : 2017-07-06
Category : Business & Economics
ISBN : 9789811037948

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Analysis of Repeated Measures Data by M. Ataharul Islam,Rafiqul I Chowdhury Pdf

This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes. The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates. In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.

Statistical Methods for the Analysis of Repeated Measurements

Author : Charles S. Davis
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 42,8 Mb
Release : 2008-01-10
Category : Mathematics
ISBN : 9780387215730

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Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis Pdf

A comprehensive introduction to a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements. The important features of this book include a comprehensive coverage of classical and recent methods for continuous and categorical outcome variables; numerous homework problems at the end of each chapter; and the extensive use of real data sets in examples and homework problems.

Analysis of Repeated Measures

Author : Martin J. Crowder,David J. Hand
Publisher : Routledge
Page : 190 pages
File Size : 53,8 Mb
Release : 2017-10-24
Category : Mathematics
ISBN : 9781351466639

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Analysis of Repeated Measures by Martin J. Crowder,David J. Hand Pdf

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions. There is a multitude of techniques available for analysing such data and in the past this has led to some confusion. This book describes the whole spectrum of approaches, beginning with very simple and crude methods, working through intermediate techniques commonly used by consultant statisticians, and concluding with more recent and advanced methods. Those covered include multiple testing, response feature analysis, univariate analysis of variance approaches, multivariate analysis of variance approaches, regression models, two-stage line models, approaches to categorical data and techniques for analysing crossover designs. The theory is illustrated with examples, using real data brought to the authors during their work as statistical consultants.

ANOVA

Author : Ellen R. Girden
Publisher : SAGE
Page : 88 pages
File Size : 50,5 Mb
Release : 1992
Category : Mathematics
ISBN : 0803942575

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ANOVA by Ellen R. Girden Pdf

Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.

Multivariate Analysis of Variance and Repeated Measures

Author : David J. Hand,C.C. Taylor
Publisher : CRC Press
Page : 284 pages
File Size : 40,7 Mb
Release : 1987-05-01
Category : Mathematics
ISBN : 0412258005

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Multivariate Analysis of Variance and Repeated Measures by David J. Hand,C.C. Taylor Pdf

This book describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories and this is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on the multiple dependent variables measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.

Bayesian Methods for Repeated Measures

Author : Lyle D. Broemeling
Publisher : CRC Press
Page : 568 pages
File Size : 50,7 Mb
Release : 2015-08-04
Category : Mathematics
ISBN : 9781482248203

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Bayesian Methods for Repeated Measures by Lyle D. Broemeling Pdf

Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas,

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Author : Barry Glaz,Kathleen M. Yeater
Publisher : John Wiley & Sons
Page : 672 pages
File Size : 40,6 Mb
Release : 2020-01-22
Category : Technology & Engineering
ISBN : 9780891183594

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Applied Statistics in Agricultural, Biological, and Environmental Sciences by Barry Glaz,Kathleen M. Yeater Pdf

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Repeated Measures Design for Empirical Researchers

Author : J. P. Verma
Publisher : John Wiley & Sons
Page : 280 pages
File Size : 48,6 Mb
Release : 2015-08-31
Category : Science
ISBN : 9781119052715

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Repeated Measures Design for Empirical Researchers by J. P. Verma Pdf

Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.

Modeling Intraindividual Variability With Repeated Measures Data

Author : Scott L. Hershberger,D.S. Moskowitz
Publisher : Psychology Press
Page : 253 pages
File Size : 51,5 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781135673208

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Modeling Intraindividual Variability With Repeated Measures Data by Scott L. Hershberger,D.S. Moskowitz Pdf

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

Linear and Nonlinear Models for the Analysis of Repeated Measurements

Author : Edward Vonesh,Vernon M. Chinchilli
Publisher : CRC Press
Page : 590 pages
File Size : 54,8 Mb
Release : 1996-11-01
Category : Mathematics
ISBN : 0824782488

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Linear and Nonlinear Models for the Analysis of Repeated Measurements by Edward Vonesh,Vernon M. Chinchilli Pdf

Integrates the latest theory, methodology and applications related to the design and analysis of repeated measurement. The text covers a broad range of topics, including the analysis of repeated measures design, general crossover designs, and linear and nonlinear regression models. It also contains a 3.5 IBM compatible disk, with software to implement immediately the techniques.

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials

Author : Toshiro Tango
Publisher : CRC Press
Page : 376 pages
File Size : 47,7 Mb
Release : 2017-09-14
Category : Mathematics
ISBN : 9781498747905

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Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by Toshiro Tango Pdf

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials is the first book focused on the application of generalized linear mixed models and its related models in the statistical design and analysis of repeated measures from randomized controlled trials. The author introduces a new repeated measures design called S:T design combined with mixed models as a practical and useful framework of parallel group RCT design because of easy handling of missing data and sample size reduction. The book emphasizes practical, rather than theoretical, aspects of statistical analyses and the interpretation of results. It includes chapters in which the author describes some old-fashioned analysis designs that have been in the literature and compares the results with those obtained from the corresponding mixed models. The book will be of interest to biostatisticians, researchers, and graduate students in the medical and health sciences who are involved in clinical trials. Author Website:Data sets and programs used in the book are available at http://www.medstat.jp/downloadrepeatedcrc.html

Statistics Applied to Clinical Trials

Author : Ton J. Cleophas,A.H. Zwinderman,Toine F. Cleophas,Eugene P. Cleophas
Publisher : Springer Science & Business Media
Page : 550 pages
File Size : 45,9 Mb
Release : 2008-12-16
Category : Mathematics
ISBN : 9781402095238

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Statistics Applied to Clinical Trials by Ton J. Cleophas,A.H. Zwinderman,Toine F. Cleophas,Eugene P. Cleophas Pdf

In clinical medicine appropriate statistics has become indispensable to evaluate treatment effects. Randomized controlled trials are currently the only trials that truly provide evidence-based medicine. Evidence based medicine has become crucial to optimal treatment of patients. We can define randomized controlled trials by using Christopher J. Bulpitt’s definition “a carefully and ethically designed experiment which includes the provision of adequate and appropriate controls by a process of randomization, so that precisely framed questions can be answered”. The answers given by randomized controlled trials constitute at present the way how patients should be clinically managed. In the setup of such randomized trial one of the most important issues is the statistical basis. The randomized trial will never work when the statistical grounds and analyses have not been clearly defined beforehand. All endpoints should be clearly defined in order to perform appropriate power calculations. Based on these power calculations the exact number of available patients can be calculated in order to have a sufficient quantity of individuals to have the predefined questions answered. Therefore, every clinical physician should be capable to understand the statistical basis of well performed clinical trials. It is therefore a great pleasure that Drs. T. J. Cleophas, A. H. Zwinderman, and T. F. Cleophas have published a book on statistical analysis of clinical trials. The book entitled “Statistics Applied to Clinical Trials” is clearly written and makes complex issues in statistical analysis transparant.

Models for Repeated Measurements

Author : James K. Lindsey
Publisher : Oxford University Press, USA
Page : 440 pages
File Size : 50,6 Mb
Release : 1993
Category : Literary Criticism
ISBN : UOM:39015055578531

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Models for Repeated Measurements by James K. Lindsey Pdf

Here is an essential introduction to the latest arsenal of methods available to students and practicing scientists who undertake longitudinal and other studies that collect repeated measurements for subsequent analysis. The book presents the general context of repeated measurements and introduces--through a large number of concrete examples, including data tables--the three basic types of response variables: continuous (normal), categorical and count, and duration variables. The ways in which such repeated observations are interdependent, through heterogeneity and time dependence, are discussed. The author also develops a useful framework for constructing suitable models and introduces concepts of multivariate distributions and stochastic processes necessary to appreciate the underpinnings and power of repeated measurements analyses. The book concludes with an extensive bibliography of the repeated measurement literature that will aid readers interested in finding source materials. Written by a distinguished statistician, this book is a much-needed and practical guide to the most current repeated measurements techniques available. It will be welcomed by students, applied statisticians, biostatisticians, biologists, medical researchers, econometricians, sociologists, and psychologists.

Nonlinear Models for Repeated Measurement Data

Author : Marie Davidian
Publisher : Routledge
Page : 360 pages
File Size : 41,6 Mb
Release : 2017-11-01
Category : Mathematics
ISBN : 9781351428156

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Nonlinear Models for Repeated Measurement Data by Marie Davidian Pdf

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.

Categorical Data Analysis by Example

Author : Graham J. G. Upton
Publisher : John Wiley & Sons
Page : 212 pages
File Size : 51,8 Mb
Release : 2016-11-14
Category : Mathematics
ISBN : 9781119307860

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Categorical Data Analysis by Example by Graham J. G. Upton Pdf

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book: Uses an example to illustrate each new topic in categorical data Provides a clear explanation of an important subject Is understandable to most readers with minimal statistical and mathematical backgrounds Contains examples that are accompanied by R code and resulting output Includes starred sections that provide more background details for interested readers Categorical Data Analysis by Example is a reference for students in statistics and researchers in other disciplines, especially the social sciences, who use categorical data. This book is also a reference for practitioners in market research, medicine, and other fields.