Fig. 1From: Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapyGeneralised pairs plot of predictor variables for an independent validation dataset against an equal number of random samples from the Dirichlet process mixture model (DPMM). The DPMM provides an exceptional representation of the validation datasetBack to article page