Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation

DOI10.1002/BIMJ.201800289zbMath1436.62605arXiv1810.05099OpenAlexW3005588092WikidataQ89690802 ScholiaQ89690802MaRDI QIDQ3299071

Erika Banzato, Liesbeth C. de Wreede, Bart Mertens

Publication date: 17 July 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.05099

zbMATH Keywords

prediction cross-validation calibration multiple imputation binary outcome

Mathematics Subject Classification ID

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

Uses Software

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