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Journal Abstract Search

1239 related items for PubMed ID: 28877666

  • 21. Rounding strategies for multiply imputed binary data.
    Demirtas H.
    Biom J; 2009 Aug; 51(4):677-88. PubMed ID: 19650057
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  • 25. Treatment of nonignorable missing data when modeling unobserved heterogeneity with finite mixture models.
    Lehmann T, Schlattmann P.
    Biom J; 2017 Jan; 59(1):159-171. PubMed ID: 27804147
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  • 26. Model development including interactions with multiple imputed data.
    Hendry GM, Naidoo RN, Zewotir T, North D, Mentz G.
    BMC Med Res Methodol; 2014 Dec 19; 14():136. PubMed ID: 25524532
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  • 27. Comparison of methods for imputing limited-range variables: a simulation study.
    Rodwell L, Lee KJ, Romaniuk H, Carlin JB.
    BMC Med Res Methodol; 2014 Apr 26; 14():57. PubMed ID: 24766825
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  • 28. Evaluation of approaches for multiple imputation of three-level data.
    Wijesuriya R, Moreno-Betancur M, Carlin JB, Lee KJ.
    BMC Med Res Methodol; 2020 Aug 12; 20(1):207. PubMed ID: 32787781
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  • 29. Propensity score analysis with partially observed covariates: How should multiple imputation be used?
    Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, Resche-Rigon M, Carpenter JR, Williamson EJ.
    Stat Methods Med Res; 2019 Jan 12; 28(1):3-19. PubMed ID: 28573919
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  • 30. Recovery of information from multiple imputation: a simulation study.
    Lee KJ, Carlin JB.
    Emerg Themes Epidemiol; 2012 Jun 13; 9(1):3. PubMed ID: 22695083
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  • 31. Multiple imputation with sequential penalized regression.
    Zahid FM, Heumann C.
    Stat Methods Med Res; 2019 May 13; 28(5):1311-1327. PubMed ID: 29451087
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  • 32. Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study.
    Marshall A, Altman DG, Royston P, Holder RL.
    BMC Med Res Methodol; 2010 Jan 19; 10():7. PubMed ID: 20085642
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  • 33. Multiple imputation in Cox regression when there are time-varying effects of covariates.
    Keogh RH, Morris TP.
    Stat Med; 2018 Nov 10; 37(25):3661-3678. PubMed ID: 30014575
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  • 34. Missing data in the American College of Surgeons National Surgical Quality Improvement Program are not missing at random: implications and potential impact on quality assessments.
    Hamilton BH, Ko CY, Richards K, Hall BL.
    J Am Coll Surg; 2010 Feb 10; 210(2):125-139.e2. PubMed ID: 20113932
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  • 35. Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.
    Bartlett JW, Seaman SR, White IR, Carpenter JR, Alzheimer's Disease Neuroimaging Initiative*.
    Stat Methods Med Res; 2015 Aug 10; 24(4):462-87. PubMed ID: 24525487
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  • 36. Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model.
    Huque MH, Moreno-Betancur M, Quartagno M, Simpson JA, Carlin JB, Lee KJ.
    Biom J; 2020 Mar 10; 62(2):444-466. PubMed ID: 31919921
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  • 37. Multiple Imputation for Incomplete Data in Environmental Epidemiology Research.
    Allotey PA, Harel O.
    Curr Environ Health Rep; 2019 Jun 10; 6(2):62-71. PubMed ID: 31090043
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  • 38. 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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  • 39. Estimating range of influence in case of missing spatial data: a simulation study on binary data.
    Bihrmann K, Ersbøll AK.
    Int J Health Geogr; 2015 Jan 06; 14():1. PubMed ID: 25563056
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  • 40. A nonparametric multiple imputation approach for missing categorical data.
    Zhou M, He Y, Yu M, Hsu CH.
    BMC Med Res Methodol; 2017 Jun 06; 17(1):87. PubMed ID: 28587662
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