GMM parameter estimates for general sleep disturbance scale latent classa solution with 7 assessments, with dyad as a clustering variable.

*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.