Data reduction for prediction: a case study on robust coding of age and family history for the risk of having a genetic mutation.

Abstract excerpt

Data reduction is often desired in the development of a prediction model, for example for effects of age and family history in the identification of subjects having a genetic mutation. We aimed to evaluate a strategy for model simplification by robust coding of related predictors. We considered 898 patients suspected of having Lynch syndrome, which is caused primarily by mutations in the mismatch repair genes,...

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