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Analysis of longitudinal data /
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Oxford University Press,
2013.
|
| Edición: | Second edition. |
| Colección: | Oxford statistical science series ;
no. 25. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Analysis of longitudinal data / |c Peter J. Diggle, Patrick J. Heagerty, Kung-Yee Liang and Scott L. Zeger. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Oxford : |b Oxford University Press, |c 2013. | |
| 264 | 4 | |c ©2002 | |
| 300 | |a 1 online resource (xv, 379 pages) : |b illustrations | ||
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| 490 | 1 | |a Oxford statistical science series ; |v no. 25 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 1. Introduction -- 2. Design considerations -- 3. Exploring longitudinal data -- 4. General linear models for longitudinal data -- 5. Parametric models for covariance structure -- 6. Analysis of variance methods -- 7. Generalized linear models for longitudinal data -- 8. Marginal models -- 9. Random effects models -- 10. Transition models -- 11. Likelihood-based methods for categorical data -- 12. Time-dependent covariates -- 13. Missing values in longitudinal data -- 14. Additional topics. | |
| 520 | |a The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Longitudinal method. | |
| 650 | 0 | |a Time-series analysis. | |
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 0 | |a Life sciences. | |
| 650 | 1 | 2 | |a Biological Science Disciplines |
| 650 | 2 | 2 | |a Multivariate Analysis |
| 650 | 2 | |a Longitudinal Studies | |
| 650 | 6 | |a Méthode longitudinale. | |
| 650 | 6 | |a Série chronologique. | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 6 | |a Sciences de la vie. | |
| 650 | 7 | |a biological sciences. |2 aat | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Multivariate Analysis. |2 bisacsh | |
| 650 | 7 | |a Life sciences |2 fast | |
| 650 | 7 | |a Longitudinal method |2 fast | |
| 650 | 7 | |a Multivariate analysis |2 fast | |
| 650 | 7 | |a Time-series analysis |2 fast | |
| 700 | 1 | |a Diggle, Peter, |e author. | |
| 776 | 0 | 8 | |i Print version: |t Analysis of longitudinal data. |b Second edition. |d Oxford : Oxford University Press, 2013 |z 9780199676750 |w (DLC) 2013444126 |w (OCoLC)818450193 |
| 830 | 0 | |a Oxford statistical science series ; |v no. 25. | |
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