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Journal Abstract Search

206 related items for PubMed ID: 39198744

  • 1. Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review.
    Afkanpour M, Hosseinzadeh E, Tabesh H.
    BMC Med Res Methodol; 2024 Aug 28; 24(1):188. PubMed ID: 39198744
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  • 3. Robust imputation method with context-aware voting ensemble model for management of water-quality data.
    Choi J, Lim KJ, Ji B.
    Water Res; 2023 Sep 01; 243():120369. PubMed ID: 37499538
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  • 7. Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study.
    Marshall A, Altman DG, Holder RL.
    BMC Med Res Methodol; 2010 Dec 31; 10():112. PubMed ID: 21194416
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  • 8. A Realistic Evaluation of Methods for Handling Missing Data When There is a Mixture of MCAR, MAR, and MNAR Mechanisms in the Same Dataset.
    Gomer B, Yuan KH.
    Multivariate Behav Res; 2023 Dec 31; 58(5):988-1013. PubMed ID: 36599049
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  • 9. Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
    Liao SG, Lin Y, Kang DD, Chandra D, Bon J, Kaminski N, Sciurba FC, Tseng GC.
    BMC Bioinformatics; 2014 Nov 05; 15(1):346. PubMed ID: 25371041
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  • 10. Outcome-sensitive multiple imputation: a simulation study.
    Kontopantelis E, White IR, Sperrin M, Buchan I.
    BMC Med Res Methodol; 2017 Jan 09; 17(1):2. PubMed ID: 28068910
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  • 13. When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts.
    Jakobsen JC, Gluud C, Wetterslev J, Winkel P.
    BMC Med Res Methodol; 2017 Dec 06; 17(1):162. PubMed ID: 29207961
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  • 16. The rise of multiple imputation: a review of the reporting and implementation of the method in medical research.
    Hayati Rezvan P, Lee KJ, Simpson JA.
    BMC Med Res Methodol; 2015 Apr 07; 15():30. PubMed ID: 25880850
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  • 17. Dealing with missing delirium assessments in prospective clinical studies of the critically ill: a simulation study and reanalysis of two delirium studies.
    Raman R, Chen W, Harhay MO, Thompson JL, Ely EW, Pandharipande PP, Patel MB.
    BMC Med Res Methodol; 2021 May 06; 21(1):97. PubMed ID: 33952189
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  • 18. The impact of imputation quality on machine learning classifiers for datasets with missing values.
    Shadbahr T, Roberts M, Stanczuk J, Gilbey J, Teare P, Dittmer S, Thorpe M, Torné RV, Sala E, Lió P, Patel M, Preller J, AIX-COVNET Collaboration, Rudd JHF, Mirtti T, Rannikko AS, Aston JAD, Tang J, Schönlieb CB.
    Commun Med (Lond); 2023 Oct 06; 3(1):139. PubMed ID: 37803172
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  • 19. Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.
    Ferri P, Romero-Garcia N, Badenes R, Lora-Pablos D, Morales TG, Gómez de la Cámara A, García-Gómez JM, Sáez C.
    Comput Methods Programs Biomed; 2023 Dec 06; 242():107803. PubMed ID: 37703700
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