Models For Repeated Measurements

Author : James K. Lindsey
Publisher : Oxford University Press, USA
Page : 440 pages
File Size : 45,7 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.

Author : Marie Davidian
Publisher : Routledge
Page : 360 pages
File Size : 51,7 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.

Author : Toshiro Tango
Publisher : CRC Press
Page : 376 pages
File Size : 45,7 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

Author : Edward Vonesh,Vernon M. Chinchilli
Publisher : CRC Press
Page : 590 pages
File Size : 51,9 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.

Author : Lang Wu
Publisher : CRC Press
Page : 431 pages
File Size : 45,6 Mb
Release : 2009-11-11
Category : Mathematics
ISBN : 1420074083

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Mixed Effects Models for Complex Data by Lang Wu Pdf

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.

Author : Scott L. Hershberger,D.S. Moskowitz
Publisher : Psychology Press
Page : 253 pages
File Size : 53,5 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.

Author : Martin J. Crowder,David J. Hand
Publisher : Routledge
Page : 190 pages
File Size : 42,8 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.

Author : J.K. Lindsey
Publisher : Unknown
Page : 515 pages
File Size : 42,5 Mb
Release : 2005
Category : Electronic
ISBN : OCLC:1123823679

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Models for Repeated Measurements by J.K. Lindsey Pdf

Author : Charles S. Davis
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 53,5 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.

Author : Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger
Publisher : SAS Institute
Page : 608 pages
File Size : 41,8 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9781635261523

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SAS for Mixed Models by Walter W. Stroup,George A. Milliken,Elizabeth A. Claassen,Russell D. Wolfinger Pdf

Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, multilocation, and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program.

Author : Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski,Charles E. McCulloch
Publisher : Springer Science & Business Media
Page : 526 pages
File Size : 50,9 Mb
Release : 2012
Category : Education
ISBN : 9781461413523

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Regression Methods in Biostatistics by Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski,Charles E. McCulloch Pdf

This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.

Author : Lyle D. Broemeling
Publisher : CRC Press
Page : 568 pages
File Size : 42,8 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,

Author : Ellen R. Girden
Publisher : SAGE
Page : 88 pages
File Size : 52,5 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.

Author : Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs
Publisher : CRC Press
Page : 633 pages
File Size : 49,5 Mb
Release : 2008-08-11
Category : Mathematics
ISBN : 9781420011579

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Longitudinal Data Analysis by Garrett Fitzmaurice,Marie Davidian,Geert Verbeke,Geert Molenberghs Pdf

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

Author : Brady T. West,Kathleen B. Welch,Andrzej T Galecki
Publisher : CRC Press
Page : 376 pages
File Size : 41,6 Mb
Release : 2006-11-22
Category : Mathematics
ISBN : 9781420010435

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Linear Mixed Models by Brady T. West,Kathleen B. Welch,Andrzej T Galecki Pdf

Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-nav