Should you account for uncertainty in Latent Class Growth Mixture Models?

19 March 2024 1 3K Report

I've fitted a latent growth mixture model to time series data. It consists of a value (population prevalence) at 11 time points for a sample of 150 areas. Said model was fitted using the lcmm package in R and identified a two class model as optimal - reflecting an hlme model as follows:

gmm2

Chuck A Arize

Yes, it is important to account for uncertainty Latent Class Growth Mixture Models (LCGMM), these models are used to identify homogeneous subpopulations within a heterogeneous population, and it also help to identify meaningful groups or classes of individuals.

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