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Viser: Analysis of Longitudinal Data

Analysis of Longitudinal Data, 2. udgave
Søgbar e-bog

Analysis of Longitudinal Data Vital Source e-bog

Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
(2013)
Oxford University Press
480,00 kr.
Leveres umiddelbart efter køb
Analysis of Longitudinal Data, 2. udgave

Analysis of Longitudinal Data Vital Source e-bog

Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
(2013)
Oxford University Press
312,00 kr.
Leveres umiddelbart efter køb
Analysis of Longitudinal Data, 2. udgave

Analysis of Longitudinal Data Vital Source e-bog

Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
(2013)
Oxford University Press
360,00 kr. 324,00 kr.
Leveres umiddelbart efter køb
Analysis of Longitudinal Data, 2. udgave

Analysis of Longitudinal Data Vital Source e-bog

Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
(2013)
Oxford University Press
435,00 kr. 391,50 kr.
Leveres umiddelbart efter køb
Analysis of Longitudinal Data, 2. udgave

Analysis of Longitudinal Data

Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
(2013)
Sprog: Engelsk
Oxford University Press
711,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.

Detaljer om varen

  • 2. Udgave
  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: Oxford University Press (Marts 2013)
  • Forfattere: Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
  • ISBN: 9780191664335
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.
Licens varighed:
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
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Detaljer om varen

  • 2. Udgave
  • Vital Source 180 day rentals (dynamic pages)
  • Udgiver: Oxford University Press (Marts 2013)
  • Forfattere: Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
  • ISBN: 9780191664335R180
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.
Licens varighed:
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Vital Source 365 day rentals (dynamic pages)
  • Udgiver: Oxford University Press (Marts 2013)
  • Forfattere: Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
  • ISBN: 9780191664335R365
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.
Licens varighed:
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: 365 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Vital Source 1460 day rentals (dynamic pages)
  • Udgiver: Oxford University Press (Marts 2013)
  • Forfattere: Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
  • ISBN: 9780191664335R1460
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.
Licens varighed:
Bookshelf online: 1460 dage fra købsdato.
Bookshelf appen: 1460 dage fra købsdato.

Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)

Detaljer om varen

  • 2. Udgave
  • Paperback: 400 sider
  • Udgiver: Oxford University Press (Marts 2013)
  • Forfattere: Peter Diggle, Patrick Heagerty, Kung-Yee Liang og Scott Zeger
  • ISBN: 9780199676750
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.
1. Introduction2. Design considerations3. Exploring longitudinal data4. General linear models5. Parametric models for covariance structure6. Analysis of variance methods7. Generalized linear models for longitudinal data8. Marginal models9. Random effects models10. Transition models11. Likelihood-based methods for categorical data12. Time-dependent covariates13. Missing values in longitudinal data14. Additional topicsAppendixBibliographyIndex
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