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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

409 related items for PubMed ID: 31345166

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  • 2. 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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  • 5. Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?
    Simons CL, Rivero-Arias O, Yu LM, Simon J.
    Qual Life Res; 2015 Apr 06; 24(4):805-15. PubMed ID: 25471286
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  • 10. Multiple imputation for handling missing outcome data when estimating the relative risk.
    Sullivan TR, Lee KJ, Ryan P, Salter AB.
    BMC Med Res Methodol; 2017 Sep 06; 17(1):134. PubMed ID: 28877666
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  • 11. Multiple imputation using auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random.
    Curnow E, Cornish RP, Heron JE, Carpenter JR, Tilling K.
    BMC Med Res Methodol; 2024 Oct 07; 24(1):231. PubMed ID: 39375597
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  • 15. Logistic regression vs. predictive mean matching for imputing binary covariates.
    Austin PC, van Buuren S.
    Stat Methods Med Res; 2023 Nov 07; 32(11):2172-2183. PubMed ID: 37750213
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  • 18. Generative adversarial networks for imputing missing data for big data clinical research.
    Dong W, Fong DYT, Yoon JS, Wan EYF, Bedford LE, Tang EHM, Lam CLK.
    BMC Med Res Methodol; 2021 Apr 20; 21(1):78. PubMed ID: 33879090
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  • 19. Handling of Missing Outcome Data in Acute Stroke Trials: Advantages of Multiple Imputation Using Baseline and Postbaseline Variables.
    Young-Saver DF, Gornbein J, Starkman S, Saver JL.
    J Stroke Cerebrovasc Dis; 2018 Dec 20; 27(12):3662-3669. PubMed ID: 30297167
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