The potential value of person-centred statistical methods in ageing research.

The authors discuss the use of repeated latent class analysis (LCA) in a study to identify the latent ageing trajectories of older Australian women. Highlights include LCA as an efficient data reduction technique that allows the objective identification of underlying patterns within data, factors associated with class membership, and a six-class model chosen based on the Akaike Information Criterion and Bayesian Information Criterion scores.