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Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
Azimi, Iman, Pahikkala, Tapio, Rahmani, Amir M., Niela-Vilén, Hannakaisa, Axelin, Anna, Liljeberg, Pasi
Published in Future generation computer systems (01.07.2019)
Published in Future generation computer systems (01.07.2019)
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Bi-level multi-source learning for heterogeneous block-wise missing data
Xiang, Shuo, Yuan, Lei, Fan, Wei, Wang, Yalin, Thompson, Paul M., Ye, Jieping
Published in NeuroImage (Orlando, Fla.) (15.11.2014)
Published in NeuroImage (Orlando, Fla.) (15.11.2014)
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Comparative methods for handling missing data in large databases
Henry, Antonia J., Hevelone, Nathanael D., Lipsitz, Stuart, Nguyen, Louis L.
Published in Journal of vascular surgery (01.11.2013)
Published in Journal of vascular surgery (01.11.2013)
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Quantifying bias due to missing data in quality of life surveys of advanced-stage cancer patients
Haug, Nina, Jänicke, Martina, Kasenda, Benjamin, Marschner, Norbert, Frank, Melanie
Published in Quality of life research (01.04.2024)
Published in Quality of life research (01.04.2024)
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Using causal diagrams to guide analysis in missing data problems
Daniel, Rhian M, Kenward, Michael G, Cousens, Simon N, De Stavola, Bianca L
Published in Statistical methods in medical research (01.06.2012)
Published in Statistical methods in medical research (01.06.2012)
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Structured Low-Rank Approximation with Missing Data
Markovsky, Ivan, Usevich, Konstantin
Published in SIAM journal on matrix analysis and applications (01.01.2013)
Published in SIAM journal on matrix analysis and applications (01.01.2013)
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