Imputation of clinical covariates in time series

DOI10.1007/s10994-020-05923-2OpenAlexW3101942798WikidataQ120689952 ScholiaQ120689952MaRDI QIDQ2051236

Colin Pawlowski, Agni Orfanoudaki, Dimitris J. Bertsimas

Publication date: 24 November 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.00418

zbMATH Keywords

time series datalongitudinal studiesmissing data imputation\(K\)-nearest neighborsFramingham heart studyelectronic health records

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Amelia
• yaImpute
• glmnet
• MICE
• ElemStatLearn
• bpca

Cites Work

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• Deep learning for time series classification: a review
• A note on the validity of cross-validation for evaluating autoregressive time series prediction
• Coordinate descent algorithms
• Multiple Imputation After 18+ Years
• A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts
• Statistical Analysis with Missing Data, Third Edition

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