Analysis of Longitudinal Data

AvPeter Diggle,Patrick Heagerty

Häftad, Engelska, 2013

Del 25 i serien Oxford Statistical Science Series

1 033 kr

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Inbunden

2 673 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2013-03-14
Mått:157 x 233 x 20 mm
Vikt:588 g
Format:Häftad
Språk:Engelska
Serie:Oxford Statistical Science Series
Antal sidor:400
Upplaga:2
Förlag:OUP OXFORD
ISBN:9780199676750

Utforska kategorier

Mer om författaren

Peter Diggle, Department of Mathematics and Statistics, University of Lancaster Patrick Heagerty, Biostatistics department University of WashingtonKung-Yee Liang, Biostatistics department, Johns Hopkins UniversityScott Zeger, Biostatistics department, Johns Hopkins University

Recensioner i media

The book is readable, well-written, and amply illustrated

Innehållsförteckning

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

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Analysis of Longitudinal Data

AvPeter Diggle,Patrick Heagerty

Häftad, Engelska, 2013

Del 25 i serien Oxford Statistical Science Series

1 033 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Inbunden

2 673 kr

Beskrivning

Produktinformation

Utgivningsdatum:2013-03-14
Mått:157 x 233 x 20 mm
Vikt:588 g
Format:Häftad
Språk:Engelska
Serie:Oxford Statistical Science Series
Antal sidor:400
Upplaga:2
Förlag:OUP OXFORD
ISBN:9780199676750

Utforska kategorier

Mer om författaren

Recensioner i media

The book is readable, well-written, and amply illustrated

Innehållsförteckning

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