Description: Analysis of Longitudinal Data, Paperback by Diggle, Peter J.; Heagerty, Patrick J.; Liang, Kung-Yee; Zeger, Scott L., ISBN 0199676755, ISBN-13 9780199676750, Brand New, Free shipping in the US 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 authors 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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Book Title: Analysis of Longitudinal Data
Number of Pages: 400 Pages
Publication Name: Analysis of Longitudinal Data
Language: English
Publisher: Oxford University Press, Incorporated
Publication Year: 2013
Subject: Probability & Statistics / Multivariate Analysis, General, Research, Probability & Statistics / Time Series
Item Height: 0.8 in
Type: Textbook
Item Weight: 20.7 Oz
Item Length: 9.2 in
Subject Area: Mathematics, Social Science
Author: Kung-Yee Liang, Peter Diggle, Patrick Heagerty, Scott Zeger
Item Width: 6.1 in
Series: Oxford Statistical Science Ser.
Format: Trade Paperback
