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Non-linear Models for Longitudinal Data.

Publication ,  Journal Article
Serroyen, J; Molenberghs, G; Verbeke, G; Davidian, M
Published in: Am Stat
November 1, 2009

While marginal models, random-effects models, and conditional models are routinely considered to be the three main modeling families for continuous and discrete repeated measures with linear and generalized linear mean structures, respectively, it is less common to consider non-linear models, let alone frame them within the above taxonomy. In the latter situation, indeed, when considered at all, the focus is often exclusively on random-effects models. In this paper, we consider all three families, exemplify their great flexibility and relative ease of use, and apply them to a simple but illustrative set of data on tree circumference growth of orange trees.

Duke Scholars

Published In

Am Stat

DOI

ISSN

0003-1305

Publication Date

November 1, 2009

Volume

63

Issue

4

Start / End Page

378 / 388

Location

England

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics
 

Citation

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ICMJE
MLA
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Serroyen, J., Molenberghs, G., Verbeke, G., & Davidian, M. (2009). Non-linear Models for Longitudinal Data. Am Stat, 63(4), 378–388. https://doi.org/10.1198/tast.2009.07256
Serroyen, Jan, Geert Molenberghs, Geert Verbeke, and Marie Davidian. “Non-linear Models for Longitudinal Data.Am Stat 63, no. 4 (November 1, 2009): 378–88. https://doi.org/10.1198/tast.2009.07256.
Serroyen J, Molenberghs G, Verbeke G, Davidian M. Non-linear Models for Longitudinal Data. Am Stat. 2009 Nov 1;63(4):378–88.
Serroyen, Jan, et al. “Non-linear Models for Longitudinal Data.Am Stat, vol. 63, no. 4, Nov. 2009, pp. 378–88. Pubmed, doi:10.1198/tast.2009.07256.
Serroyen J, Molenberghs G, Verbeke G, Davidian M. Non-linear Models for Longitudinal Data. Am Stat. 2009 Nov 1;63(4):378–388.
Journal cover image

Published In

Am Stat

DOI

ISSN

0003-1305

Publication Date

November 1, 2009

Volume

63

Issue

4

Start / End Page

378 / 388

Location

England

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics