Analysis of Longitudinal Data 2E Diggle probability biostatistics mathematics LN

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“Hardcover. Like new condition. Former owner's name written on inside front cover. No other ...
Educational Level
Adult & Further Education
Personalized
No
Level
Advanced
Country/Region of Manufacture
United Kingdom
ISBN
9780198524847

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Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0198524846
ISBN-13
9780198524847
eBay Product ID (ePID)
1922750

Product Key Features

Number of Pages
398 Pages
Publication Name
Analysis of Longitudinal Data
Language
English
Subject
Probability & Statistics / General, Research, Epidemiology
Publication Year
2002
Features
Revised
Type
Textbook
Author
Kung-Yee Liang, Peter Diggle, Patrick Heagerty, Scott Zeger
Subject Area
Mathematics, Social Science, Medical
Series
Oxford Statistical Science Ser.
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
24.2 Oz
Item Length
9.5 in
Item Width
6.4 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2002-030767
Dewey Edition
23
Reviews
'Review from previous edition The book is readable, well-written, and amply illustrated'Technometrics, August 1995'It belongs in the possession of every statistician who encouters longitudinal data.'Journal of the American Statistical Association, 'It belongs in the possession of every statistician who encouterslongitudinal data.'Journal of the American Statistical Association, 'Review from previous edition The book is readable, well-written, and amply illustrated'Technometrics, August 1995, 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., . . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research., 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., "...it is well written, with wide coverage of biological and medical applications. It should continue to have a prominent place in libraries, and researchers who are interested in longitudinal data analysis will want a personal copy." --Journal of the American Statistical Association, 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., 'It belongs in the possession of every statistician who encouters longitudinal data.'Journal of the American Statistical Association
Series Volume Number
Vol. 25
Illustrated
Yes
Dewey Decimal
519.5/35
Table Of Content
1. Introduction2. Design considerations3. Exploring longitudinal data4. General linear models for longitudinal data5. 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 topicsAppendix Statistical backgroundBibliographyIndex
Edition Description
Revised edition
Synopsis
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., 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 new edition of Analysis for Longitudinal Data 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.
LC Classification Number
QA278.D545 2002

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