Group-based trajectory analysis has a substantial literature,
including the following paper,
Daniel S. Nagin, Analyzing developmental trajectories: a
semiparametric, group-based approach. Psychological Methods 1999;
4(2):139-157
and a book:
Daniel Nagin, Group-Based Modeling of Development. Cambridge, MA:
Harvard University Press, 2005.
The methodology assumes that trajectories can be well approximated by
polynomials, but I have not seen empirical evidence that supports such
a narrow assumption. It is reasonable to expect trajectories to be
nonlinear, but many likely nonlinear patterns are not well
approximated by polynomials. In applications, it would be a good idea
to start with some sort of exploratory analysis and let the data
reveal potential trajectories (as well as subjects whose trajectories
seem to be "outlying").
In the present application, the outcome seems to be dichotomous. If
so, the B coefficients are in the logit scale.
David Hoaglin
Original Message------
Hello Hamid,
This reference may help.
https://www.researchgate.net/profile/Bobby_Jones2/publication/266822262_Proc_TRAJ_A_SAS_Procedure_for_Group-Based_Modeling_of_Longitudinal_Data/links/551815fc0cf2f7d80a3d2779/Proc-TRAJ-A-SAS-Procedure-for-Group-Based-Modeling-of-Longitudinal-Data.pdf
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Kirk Ketelsen
Clinical Asst Professor
Boise State University
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