Framework to construct and interpret latent class trajectory modelling.

ABSTRACT:

Objectives

Latent class trajectory modelling (LCTM) is a relatively new methodology in epidemiology to describe life-course exposures, which simplifies heterogeneous populations into homogeneous patterns or classes. However, for a given dataset, it is possible to derive scores of different models based on number of classes, model structure and trajectory property. Here, we rationalise a systematic framework to derive a 'core' favoured model.

Methods

We developed an eight-step framework: step 1: a scoping model; step 2: refining the number of classes; step 3: refining model structure (from fixed-effects through to a flexible random-effect specification); step 4: model adequacy assessment; step 5: graphical presentations; step 6: use of additional discrimination tools ('degree

SUBMITTER: Lennon H 

PROVIDER: S-EPMC6042544 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature