GMM parameter estimates for general sleep disturbance scale latent classa solution with 7 assessments, with dyad as a clustering variable.
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*p***paTrajectory group sizes are for classification of individuals based on their most likely latent class probabilities.bGrowth mixture model estimates were obtained with robust maximum likelihood, with dyad as a clustering variable to account for dependency between patients and caregivers within the same dyad. Quadratic slope variances were fixed at zero to improve estimation.Abbreviations: GMM = Growth mixture model; S.E. = standard error.
创建时间：
2015-12-02
