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Everything about Recursive partitioning

Recursive partitioning is a statistical method for multivariable analysis. Recursive partitioning creates a decision tree that strives to correctly classify members of the population by splitting it into sub-populations based on several dichotomous independent variables. The process is termed recursive because each sub-population may in turn be split an indefinite number of times until the splitting process terminates after a particular stopping criterion is reached. Wikipedia →

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  1. Read the overview: Recursive partitioningA 5-minute orientation
  2. Skim a recent paper: Unbiased Recursive Partitioning Enables Robust and Reliable Outcome Prediction in Acute Spinal Cord InjuryInfluential work since 2022
  3. Pick up a classic book: Recursive partitioning and applicationsThe most-reprinted book on the subject
  4. Read the landmark paper: Unbiased Recursive Partitioning: A Conditional Inference FrameworkCited 3,277 times
  5. Go sideways: Clinical prediction ruleA closely related topic
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