Hostname: page-component-5f745c7db-rgzdr Total loading time: 0 Render date: 2025-01-06T07:20:11.070Z Has data issue: true hasContentIssue false
  • English
  • Français

G. Fitzmaurice, M. Davidian, G. Verbeke & G. Molenberghs (eds) (2008) Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. Boca Raton, FL: Chapman & Hall/CRC. 632 pages. US$89.95. ISBN: 978-1584886587

Review products

G. Fitzmaurice, M. Davidian, G. Verbeke & G. Molenberghs (eds) (2008) Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. Boca Raton, FL: Chapman & Hall/CRC. 632 pages. US$89.95. ISBN: 978-1584886587

Published online by Cambridge University Press:  01 January 2025

Ji Hoon Ryoo
Ji Hoon Ryoo*
Affiliation:
University of Nebraska, Lincoln
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Information
Psychometrika , Volume 77 , Issue 2 , April 2012 , pp. 423 - 424
Copyright
Copyright © 2012 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Carlin, B.P., Louis, T.A. (2009). Bayesian methods for data analysis, (3rd ed.). Boca Raton: Chapman & Hall/CRCGoogle Scholar
Claeskens, G., Hjort, N.L. (2008). Model selection and model averaging, Cambridge: Cambridge University PressGoogle Scholar
Diggle, P.J., Heagerty, P., Liang, K.Y., Zeger, S.L. (2002). Analysis of longitudinal data, (2rd ed.). New York: OxfordCrossRefGoogle Scholar
Lahiri, P. (2001). Model selection, Beachwood: Institute of Mathematical StatisticsCrossRefGoogle Scholar
Verbeke, G., Molenberghs, G. (2000). Linear mixed models for longitudinal data, New York: SpringerGoogle Scholar