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
APA
Chicago
ICMJE
MLA
NLM
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.
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