Analysis of Longitudinal Data
(Sprache: Englisch)
The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully...
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Produktinformationen zu „Analysis of Longitudinal Data “
The new edition of this important text has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving and important area of biostatistics. Two new chapters have been added on fully parametric models for discrete repeated measures data and on statistical models for time-dependent predictors where there may be feedback between the predictor and response variables. It also contains the many useful features of the previous edition such as, design issues, exploratory methods of analysis, linear models for continuous data, and models and methods for handling data and missing values.
Inhaltsverzeichnis zu „Analysis of Longitudinal Data “
1. Introduction; 2. Design considerations; 3. Exploring longitudinal data; 4. General linear models; 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; Appendix; Bibliography; Index
Bibliographische Angaben
- Autoren: Peter Diggle , Patrick Heagerty , Kung-Yee Liang , Scott Zeger
- 2002, Second Edition, 396 Seiten, Maße: 16,4 x 24,3 cm, Gebunden, Englisch
- Verlag: Oxford University Press
- ISBN-10: 0198524846
- ISBN-13: 9780198524847
Sprache:
Englisch
Rezension zu „Analysis of Longitudinal Data “
... provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. Statistics in Medicine, 23 The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. Pharmaceutical Statistics The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated. Pharmaceutical Statistics Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data. Zentralblatt MATH
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