Christian Ritz

Latent transition analysis (LTA) is a useful statistical modelling approach for identifying subgroups ("latent classes") and describe transitions between subgroups over time.

During the last few decades, dose-response analysis, which is fitting and interpreting results obtained from using fully parametric nonlinear dose-response (regression) models, has undergone dramatic changes, from cumbersome, more or less manual calculations and transformations to blink-of-an-eye…