9780470380277 - applied longitudinal analysis (wiley series in probability and statistics) von fitzmaurice, garrett m.; laird, nan m.; ware, james h. (11 Ergebnisse)
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Hardcover. Zustand: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Zustand: New. pp. xxv + 701 Illus.
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Gebunden. Zustand: New. Garrett M. Fitzmaurice, ScD, is Professor in the Department of Biostatistics at the Harvard School of Public Health and Director of the Laboratory for Psychiatric Biostatistics at McLean Hospital. A Fellow of the American Statistical Association and advisor.
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Hardcover. Zustand: Brand New. 2nd edition. 704 pages. 9.25x6.42x1.65 inches. In Stock.
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Zustand: New. 2011. 2nd. Hardcover. Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Series: Wiley Series in Probability and Statistics. Num Pages: 74…0 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 246 x 167 x 42. Weight in Grams: 1234. Series: Wiley Series in Probability and Statistics. 740 pages, Illustrations. The book has been written at a technical level that is suitable for researchers who have taken an introductory course in statistics and who have a solid foundation in linear regression. Additional problem sets at provided at the end of each chapter to enhance the usefulness of the book as a text for courses on longitudinal data analysis. Cateogry: (P) Professional & Vocational. BIC Classification: PBT. Dimension: 246 x 167 x 42. Weight: 1194. . . . . . Books ship from the US and Ireland.
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Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Neuware - Praise for the First Edition'. . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis.'--Journal of the American Statistical AssociationFeatures newly developed topics and applications of the analysis of longitudinal dataApplied Longitudinal Analysis, Secon…d Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences.The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including:\* Fixed effects and mixed effects models\* Marginal models and generalized estimating equations\* Approximate methods for generalized linear mixed effects models\* Multiple imputation and inverse probability weighted methods\* Smoothing methods for longitudinal data\* Sample size and powerEach chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS(r), Stata(r), and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material.With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.
