Evaluating the predictive performance of subtyping: a criterion for cluster mean-based prediction

DOI10.1002/SIM.9656zbMATH Open1545.62379MaRDI QIDQ6617456

Kentaro Katahira

Publication date: 11 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

predictionclusteringheterogeneitysubtypingcost of cluster mean-based prediction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• A Method for Selecting the Bin Size of a Time Histogram
• Random forests

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