modeling longitudinal data von weiss robert (23 Ergebnisse)

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Hardcover. Zustand: Good. 1st Edition. Hardcover, xxii + 429 pages, NOT ex-library. Gentle internal creasing. Book is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- Robert E. Weiss provides an introduction to the statistical modelling of longitudinal data in this widely used graduate-level textbook. The book focuses on the analysis of data collected repeatedly on the same subjects over time, a common situation in medical, biological, psychological, and social science research. Weiss presents a clear and practical treatment of linear and nonlinear mixed-effects models, which have become the standard tools for handling the within-subject correlation that characterises longitudinal studies. The text covers important topics including covariance structure selection, modelling of mean and variance structures, handling of missing data, and the interpretation of model parameters in both balanced and unbalanced designs. Considerable attention is given to the practical aspects of model building, diagnostics, and the communication of statistical results. The author uses numerous real-world examples and datasets to illustrate the methods, making the theoretical concepts more accessible while maintaining statistical rigor. The book progresses from basic repeated-measures ANOVA through increasingly sophisticated multilevel and hierarchical models, offering readers a solid foundation for analysing complex longitudinal datasets. Modeling Longitudinal Data is respected for its balanced approach that bridges theory and application. It has been widely adopted in graduate programs in biostatistics, statistics, and quantitative social sciences, serving as both a textbook for courses and a useful reference for researchers who regularly work with longitudinal data.

Zustand: New. In.

PF. Zustand: New.

Zustand: New. pp. 454.

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Taschenbuch. Zustand: Neu. Modeling Longitudinal Data | Robert E. Weiss | Taschenbuch | Springer Texts in Statistics | xxii | Englisch | 2010 | Springer | EAN 9781441923219 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models. He inspects the longitudinal data graphically, analyzes the time trend and covariates, models the covariance matrix, and then draws conclusions.Covariance models covered include random effects, autoregressive, autoregressive moving average, antedependence, factor analytic, and completely unstructured models among others. Longer expositions explore: an introduction to and critique of simple non-longitudinal analyses of longitudinal data, missing data concepts, diagnostics, and simultaneous modeling of two longitudinal variables. Applications and issues for random effects models cover estimation, shrinkage, clustered data, models for binary and count data and residuals and residual plots. Shorter sections include a general discussion of how computational algorithms work, handling transformed data, and basic design issues.This book requires a solid regression course as background and is particularly intended for the final year of a Biostatistics or Statistics Masters degree curriculum. The mathematical prerequisite is generally low, mainly assuming familiarity with regression analysis in matrix form. Doctoral students in Biostatistics or Statistics, applied researchers and quantitative doctoral students in disciplines such as Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education will find this book invaluable. The book has many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce thematerial. From the reviews: '.This book is extremely well presented and it has been written in a style that makes its reading really pleasant and enjoyable.I highly recommend Modeling Longitudinal Data as a good reference book for anyone interested in looking into the art and statistical science of modern longitudinal data analysis.' Journal of Applied Statistics, December 2005'The book is clearly written and well presented. The author's accumulated experience in presenting the material comes over. On balance, this is one of the books which anyone about to teach a practical course in longitudinal data analysis should consider adopting as the course text.' Short Book Reviews of the ISI, June 2006'.Modeling Longitudinal Data is a welcome addition to the vast literature on longitudinal data analysis. The book requires little in terms of prerequisites but offers a great deal.' Zhigang Zhang for the Journal of the American Statistical Association, December 2006'Overall, Robert Weiss's book can be used as an excellent textbook for a first master-level course in longitudinal data analysis in a statistics or biostatistics program, or as a self-study book for applied researchers interested in this area.The style is very clear, concepts are explained in an engaging way and amply illustrated, and the chapters on covariate selection and modeling the variance-covariance matrix are definite assets.' Ralitza Gueorgueiva for Biostatistics, September 2006.

Zustand: New. pp. 456.

Hardcover. Zustand: Like New. Like New. book.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models. He inspects the longitudinal data graphically, analyzes the time trend and covariates, models the covariance matrix, and then draws conclusions.Covariance models covered include random effects, autoregressive, autoregressive moving average, antedependence, factor analytic, and completely unstructured models among others. Longer expositions explore: an introduction to and critique of simple non-longitudinal analyses of longitudinal data, missing data concepts, diagnostics, and simultaneous modeling of two longitudinal variables. Applications and issues for random effects models cover estimation, shrinkage, clustered data, models for binary and count data and residuals and residual plots. Shorter sections include a general discussion of how computational algorithms work, handling transformed data, and basic design issues.This book requires a solid regression course as background and is particularly intended for the final year of a Biostatistics or Statistics Masters degree curriculum. The mathematical prerequisite is generally low, mainly assuming familiarity with regression analysis in matrix form. Doctoral students in Biostatistics or Statistics, applied researchers and quantitative doctoral students in disciplines such as Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education will find this book invaluable. The book has many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce thematerial. From the reviews: '.This book is extremely well presented and it has been written in a style that makes its reading really pleasant and enjoyable.I highly recommend Modeling Longitudinal Data as a good reference book for anyone interested in looking into the art and statistical science of modern longitudinal data analysis.' Journal of Applied Statistics, December 2005'The book is clearly written and well presented. The author's accumulated experience in presenting the material comes over. On balance, this is one of the books which anyone about to teach a practical course in longitudinal data analysis should consider adopting as the course text.' Short Book Reviews of the ISI, June 2006'.Modeling Longitudinal Data is a welcome addition to the vast literature on longitudinal data analysis. The book requires little in terms of prerequisites but offers a great deal.' Zhigang Zhang for the Journal of the American Statistical Association, December 2006'Overall, Robert Weiss's book can be used as an excellent textbook for a first master-level course in longitudinal data analysis in a statistics or biostatistics program, or as a self-study book for applied researchers interested in this area.The style is very clear, concepts are explained in an engaging way and amply illustrated, and the chapters on covariate selection and modeling the variance-covariance matrix are definite assets.' Ralitza Gueorgueiva for Biostatistics, September 2006 452 pp. Englisch.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers both the regression modeling aspect and the covariance modeling issuesCoverage includes initial data exploration, model specification and building and inferenceThe book features many figures and tables illustrating longitu.

Zustand: New. Print on Demand pp. 454 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Zustand: New. PRINT ON DEMAND pp. 454.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook will cover multivariate linear models for a continuousresponse measured repeatedly over time. It will be of interest tostatisticians in many fields including biostatistics and socialscience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers both the regression modeling aspect and the covariance modeling issuesCoverage includes initial data exploration, model specification and building and inferenceThe book features many figures and tables illustrating longitu.

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Zustand: New. Print on Demand pp. 456 Illus.

Zustand: New. PRINT ON DEMAND pp. 456.