Analysis Of Repeated Measures Data

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Analysis of Repeated Measures Data

Author : M. Ataharul Islam
Publisher : Springer
ISBN 13 : 9811037949
Total Pages : 250 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Analysis of Repeated Measures Data by : M. Ataharul Islam

Download or read book Analysis of Repeated Measures Data written by M. Ataharul Islam and published by Springer. This book was released on 2017-07-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 0387215735
Total Pages : 416 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Statistical Methods for the Analysis of Repeated Measurements by : Charles S. Davis

Download or read book Statistical Methods for the Analysis of Repeated Measurements written by Charles S. Davis and published by Springer Science & Business Media. This book was released on 2008-01-10 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : Routledge
ISBN 13 : 1351466631
Total Pages : 190 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Analysis of Repeated Measures by : Martin J. Crowder

Download or read book Analysis of Repeated Measures written by Martin J. Crowder and published by Routledge. This book was released on 2017-10-24 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nonlinear Models for Repeated Measurement Data

Author : Marie Davidian
Publisher : Routledge
ISBN 13 : 1351428152
Total Pages : 360 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Nonlinear Models for Repeated Measurement Data by : Marie Davidian

Download or read book Nonlinear Models for Repeated Measurement Data written by Marie Davidian and published by Routledge. This book was released on 2017-11-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
ISBN 13 : 1119307864
Total Pages : 212 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Categorical Data Analysis by Example by : Graham J. G. Upton

Download or read book Categorical Data Analysis by Example written by Graham J. G. Upton and published by John Wiley & Sons. This book was released on 2016-11-14 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Longitudinal Data Analysis

Author : Garrett Fitzmaurice
Publisher : CRC Press
ISBN 13 : 142001157X
Total Pages : 633 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice

Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

Statistics Applied to Clinical Trials

Author : Ton J. Cleophas
Publisher : Springer Science & Business Media
ISBN 13 : 9401595089
Total Pages : 105 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Statistics Applied to Clinical Trials by : Ton J. Cleophas

Download or read book Statistics Applied to Clinical Trials written by Ton J. Cleophas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal. Until then, observations had been uncontrolled. Initially, trials frequently did not confirm the hypotheses to be tested. This phenomenon was attributed to low sensitivity due to small samples, as well as inappropriate hypotheses based on biased prior trials. Additional flaws were recognized and, subsequently, were better accounted for: carryover effects due to insufficient washout from previous treatments, time effects due to external factors and the natural history of the condition under study, bias due to asymmetry between treatment groups, lack of sensitivity due to a negative correlation between treatment responses, and so on. Such flaws, mainly of a technical nature, have been largely corrected and led to trials after 1970 being of significantly higher quality. The past decade has focused, in addition to technical aspects, on the need for circumspection in the planning and conducting of clinical trials. As a consequence, prior to approval, clinical trial protocols are now routinely scrutinized by different circumstantial organs, including ethics committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analyses. This book not only explains classical statistical analyses of clinical trials, but also addresses relatively novel issues, including equivalence testing, interim analyses, sequential analyses, and meta-analyses, and provides a framework of the best statistical methods currently available for such purposes. This book is not only useful for investigators involved in the field of clinical trials, but also for all physicians who wish to better understand the data of trials as currently published.

Multivariate Analysis of Variance and Repeated Measures

Author : David J. Hand
Publisher : CRC Press
ISBN 13 : 9780412258008
Total Pages : 284 pages
Book Rating : 4.2/5 (58 download)

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Book Synopsis Multivariate Analysis of Variance and Repeated Measures by : David J. Hand

Download or read book Multivariate Analysis of Variance and Repeated Measures written by David J. Hand and published by CRC Press. This book was released on 1987-05-01 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modeling Intraindividual Variability With Repeated Measures Data

Author : Scott L. Hershberger
Publisher : Psychology Press
ISBN 13 : 1135673209
Total Pages : 253 pages
Book Rating : 4.1/5 (356 download)

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Book Synopsis Modeling Intraindividual Variability With Repeated Measures Data by : Scott L. Hershberger

Download or read book Modeling Intraindividual Variability With Repeated Measures Data written by Scott L. Hershberger and published by Psychology Press. This book was released on 2013-06-17 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bayesian Methods for Repeated Measures

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1482248204
Total Pages : 568 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Bayesian Methods for Repeated Measures by : Lyle D. Broemeling

Download or read book Bayesian Methods for Repeated Measures written by Lyle D. Broemeling and published by CRC Press. This book was released on 2015-08-04 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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,

Linear and Nonlinear Models for the Analysis of Repeated Measurements

Author : Edward Vonesh
Publisher : CRC Press
ISBN 13 : 9780824782481
Total Pages : 590 pages
Book Rating : 4.7/5 (824 download)

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Book Synopsis Linear and Nonlinear Models for the Analysis of Repeated Measurements by : Edward Vonesh

Download or read book Linear and Nonlinear Models for the Analysis of Repeated Measurements written by Edward Vonesh and published by CRC Press. This book was released on 1996-11-01 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Statistics in Agricultural, Biological, and Environmental Sciences

Author : Barry Glaz
Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Applied Statistics in Agricultural, Biological, and Environmental Sciences by : Barry Glaz

Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Methods and Applications of Longitudinal Data Analysis

Author : Xian Liu
Publisher : Elsevier
ISBN 13 : 0128014822
Total Pages : 530 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Methods and Applications of Longitudinal Data Analysis by : Xian Liu

Download or read book Methods and Applications of Longitudinal Data Analysis written by Xian Liu and published by Elsevier. This book was released on 2015-09-11 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.

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

Author : Toshiro Tango
Publisher : CRC Press
ISBN 13 : 1498747906
Total Pages : 376 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by : Toshiro Tango

Download or read book Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials written by Toshiro Tango and published by CRC Press. This book was released on 2017-09-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

ANOVA

Author : Ellen R. Girden
Publisher : SAGE
ISBN 13 : 9780803942578
Total Pages : 88 pages
Book Rating : 4.9/5 (425 download)

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Book Synopsis ANOVA by : Ellen R. Girden

Download or read book ANOVA written by Ellen R. Girden and published by SAGE. This book was released on 1992 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Longitudinal Analysis

Author : Lesa Hoffman
Publisher : Routledge
ISBN 13 : 1317591097
Total Pages : 626 pages
Book Rating : 4.3/5 (175 download)

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Book Synopsis Longitudinal Analysis by : Lesa Hoffman

Download or read book Longitudinal Analysis written by Lesa Hoffman and published by Routledge. This book was released on 2015-01-30 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.

Practical Longitudinal Data Analysis

Author : David J. Hand
Publisher : Routledge
ISBN 13 : 1351422650
Total Pages : 185 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Practical Longitudinal Data Analysis by : David J. Hand

Download or read book Practical Longitudinal Data Analysis written by David J. Hand and published by Routledge. This book was released on 2017-10-06 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.