Modeling Latent Effect Heterogeneity The goal of this project is to provide a series of tools to investigate latent heterogeneity in the effect of treatment variables or other observed covariates. Latent heterogeneity can occur because latent conditioning terms (i.e., interactive factors) are omitted in the empirical analysis.
In generalized linear models, omitting interactions can lead to latent occurrences of Simpson’s Paradox, which is a long-standing problem in statistical analysis in general and in the social sciences in particular.