Flexible and modular latent transition analysis-A tutorial using R.

ABSTRACT: Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is often of key interest. Currently, LTA can mostly be carried out using commercial and specialized software and only to some limited extent by means of open source statistical software. This tutorial demonstrates a flexible and modular approach for LTA, providing a powerful alternative using R through a combination latent class analysis and multiple logistic regression models. This approach has several advantages from a modelling perspective, as demonstrated through revisiting a previously conducte

SUBMITTER: Lund L 

PROVIDER: S-EPMC11741568 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature