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11 In our current model, a binary trajectory model was repeated with group options from 2 through 6 using the built-in function of the "Proc Traj" add-on package (http://www.andrew.cmu.edu/user/bjones/index.htm) for SAS-based analyses (version 9.3; SAS Institute Inc., Cary, NC, USA).
A latent-class trajectory model was used to distinguish typical trajectories [ 17– 19] of the moving averages of adherence to HAART.
Latent trajectory modelling was used to evaluate longitudinal data and so estimate and predict unobserved underlying trajectories among these patients.
Latent-class trajectory models were used to build typical trajectories for the average adherence and the standardized variance of adherence.
Binary logistic regression model was used for analysing data.
Binary logistic regression model was estimated using the Entry method.
The predictive model was created using a binary logistic regression.
Binary response models are used in many real applications.
As the response variables were binary, logistic models were used.
Binary regression models were applied for the multivariate analysis.
