Imputation of clinical covariates in time series
type: Item
instance of: scholarly article
title: Imputation of clinical covariates in time series
author: Agni Orfanoudaki
author: Colin Pawlowski
author: Dimitris Bertsimas
published in: Machine Learning
publication date: 2021-11-24T00:00:00Z
full work available at URL: https://arxiv.org/abs/1812.00418
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7432801
zbMATH Keywords: missing data imputation
zbMATH Keywords: time series data
zbMATH Keywords: electronic health records
zbMATH Keywords: longitudinal studies
zbMATH Keywords: Framingham heart study
zbMATH Keywords: \(K\)-nearest neighbors
describes a project that uses: bpca
describes a project that uses: glmnet
describes a project that uses: Amelia
describes a project that uses: MICE
describes a project that uses: yaImpute
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
OpenAlex ID: W3101942798
Wikidata QID: Q120689952
cites work: A note on the validity of cross-validation for evaluating autoregressive time series prediction
cites work: Q3151174
cites work: Q4558522
cites work: Deep learning for time series classification: a review
cites work: Statistical Analysis with Missing Data, Third Edition
cites work: Multiple Imputation After 18+ Years
cites work: A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts
cites work: Coordinate descent algorithms
DOI: 10.1007/S10994-020-05923-2
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description: scientific article; zbMATH DE number 7432801