Unscripted E7: Modeling Observed Population Heterogeneity
Nearly all standard statistical models assume that the sample data are drawn from a homogeneous population, where one model structure and set of parameter values holds for everyone. However, sometimes, we sample data from known subpopulations (e.g., biological sex, nationality, race, or even assigned groups like treatment versus control) across which the values of the model parameters or potentially even the model structure might differ. In Episode 7 of Unscripted, Dan and Patrick discuss modeling approaches that allow for population heterogeneity as a function of observed subgroups (e.g., where subgroup membership is known), and how these approaches can be used to test different hypotheses about how the subgroups may differ from one another.
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