Analysis of Longitudinal Data and millions of other books are available for Amazon . of Longitudinal Data (Oxford Statistical Science Series) by Peter Diggle. : Analysis of Longitudinal Data (): Peter J. Diggle, Kung-Yee Liang, Scott L. Zeger: Books. Longitudinal Data Analysis. Peter Diggle Time series and longitudinal data: similarities/differences. 2. Linear models: Analysis of Bailrigg temperature data.
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Exploring longitudinal data 4. Analysis of variance methods 7. Marginal models ; 9.
Choose your country or region Close. Account Options Sign in. Additional topics Appendix Statistical background Bibliography Index.
Analysis of longitudinal data – Peter Diggle, Kung-Yee Liang, Scott L. Zeger – Google Books
Analysis of variance methods. Likelihood Methods in Statistics Thomas A. Design considerations ; 3. The Best Books of Looking for beautiful books? Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. Additional topics ; Appendix ; Bibliography ; Index show more.
Analysis of Longitudinal Data : Peter J. Diggle :
Description The first edition of Analysis for Longitudinal Data has become a classic. DigglePatrick HeagertyPatrick J.
Missing values in longitudinal data As a quick look-up, it is very useful. Procrustes Problems Garmt B.
Analysis of Longitudinal Data
Analysis of variance methods ; 7. My library Help Advanced Book Search. The first edition of Analysis for Longitudinal Data has become a classic.
The book is readable and well written Analysis of Longitudinal Data. Selected pages Title Page. Random effects models 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. Ebook This title is available as an ebook.
Celebrating Statistics Nanny Wermuth. It includes two new chapters; qnalysis first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors. Generalized linear models for longitudinal data 8. Random effects models ; Oxford Scholarship Online This book is available as part of Oxford Scholarship Online – view abstracts and keywords at book and chapter level.