Chunk #102 — 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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We find that the reactions to sleep deprivation of subjects 308 and 350 can be represented by one joint model, while the reactions of the other subjects are represented by distinct models. If additional covariates, such as age and gender, rather than only the subject ID, were available for this study, they could be used for partitioning as well, while using the subject ID as a pseudo covariate as in this example resembles a latent class approach for identifying groups of subjects with similar response patterns.