Analysis of Longitudinal Data (Oxford Statistical Science Series)

 
9780199676750: Analysis of Longitudinal Data (Oxford Statistical Science Series)
Review:

The book is readable, well-written, and amply illustrated ( Technometrics, August 1995 (previous edition))

It belongs in the possession of every statistician who encouters longitudinal data. ( Journal of the American Statistical Association)

. . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. ( Statistics in Medicine)

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)

From the Publisher:

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.

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Diggle, Peter; Heagerty, Patrick; Liang, Kung-Yee; Zeger, Scott
Editorial: Oxford University Press, United Kingdom (2013)
ISBN 10: 0199676755 ISBN 13: 9780199676750
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Descripción Oxford University Press, United Kingdom, 2013. Paperback. Estado de conservación: New. 2nd Revised edition. 232 x 156 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AOP9780199676750

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Descripción Oxford University Press. Paperback. Estado de conservación: new. BRAND NEW, Analysis of Longitudinal Data (2nd Revised edition), Peter J. Diggle, Patrick J. Heagerty, Kung-Yee Liang, Scott L. Zeger, 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. Nº de ref. de la librería B9780199676750

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Descripción Oxford University Press, United Kingdom, 2013. Paperback. Estado de conservación: New. 2nd Revised edition. 232 x 156 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AOP9780199676750

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Descripción Oxford University Press 2013-03-14, Oxford, 2013. paperback. Estado de conservación: New. Nº de ref. de la librería 9780199676750

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Descripción Oxford University Press, 2013. Estado de conservación: New. 2013. 2nd Edition. Paperback. This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors. Series: Oxford Statistical Science Series. Num Pages: 400 pages, black & white illustrations, black & white tables, figures, graphs. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 182 x 235 x 19. Weight in Grams: 572. . . . . . . Nº de ref. de la librería V9780199676750

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Descripción Oxford University Press, 2013. Estado de conservación: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors. Nº de ref. de la librería ABE_book_new_0199676755

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Descripción Oxford University Press. Estado de conservación: New. 2013. 2nd Edition. Paperback. This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors. Series: Oxford Statistical Science Series. Num Pages: 400 pages, black & white illustrations, black & white tables, figures, graphs. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 182 x 235 x 19. Weight in Grams: 572. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780199676750

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