RETRACTED: Part II: a step-by-step guide to latent class analysis

Latent Class Analysis (LCA) is an analytical approach for the identification of more homogeneous subgroups within an otherwise dissimilar patient population. In the current paper, Part II, we present a practical step-by-step guide for LCA of clinical data, including when LCA might be applied, selecting indicator variables, and choosing a final class model. We also identify some common pitfalls of LCA, and some related solutions.