Chunk #103 — Further Application Examples — Model-Based Recursive Partitioning

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An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

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Of course, differences between subjects or groups of subjects could also be modeled by means of, e.g., random effects or latent class models – but again the visual inspection of the model-based partition, that requires no further assumptions, can provide a helpful first glance impression of different response patterns present in the sample or help, e.g., identify groups of non-responders in clinical studies.