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Journal Abstract Search

228 related items for PubMed ID: 26610248

  • 1. A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables.
    Wu W, Jia F, Enders C.
    Multivariate Behav Res; 2015; 50(5):484-503. PubMed ID: 26610248
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  • 2. Comparison of methods for imputing ordinal data using multivariate normal imputation: a case study of non-linear effects in a large cohort study.
    Lee KJ, Galati JC, Simpson JA, Carlin JB.
    Stat Med; 2012 Dec 30; 31(30):4164-74. PubMed ID: 22826110
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  • 4. Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study.
    De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ, Simpson JA.
    BMC Med Res Methodol; 2019 Jan 10; 19(1):14. PubMed ID: 30630434
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  • 6. A Comparison of Methods for Creating Multiple Imputations of Nominal Variables.
    Lang KM, Wu W.
    Multivariate Behav Res; 2017 Jan 10; 52(3):290-304. PubMed ID: 28266876
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  • 9. Missing data on the Center for Epidemiologic Studies Depression Scale: a comparison of 4 imputation techniques.
    Bono C, Ried LD, Kimberlin C, Vogel B.
    Res Social Adm Pharm; 2007 Mar 10; 3(1):1-27. PubMed ID: 17350555
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  • 10. Simulation-based study comparing multiple imputation methods for non-monotone missing ordinal data in longitudinal settings.
    Donneau AF, Mauer M, Lambert P, Molenberghs G, Albert A.
    J Biopharm Stat; 2015 Mar 10; 25(3):570-601. PubMed ID: 24905056
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  • 13. Gaussian-based routines to impute categorical variables in health surveys.
    Yucel RM, He Y, Zaslavsky AM.
    Stat Med; 2011 Dec 20; 30(29):3447-60. PubMed ID: 21976366
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  • 14. Multiple imputation for discrete data: Evaluation of the joint latent normal model.
    Quartagno M, Carpenter JR.
    Biom J; 2019 Jul 20; 61(4):1003-1019. PubMed ID: 30868652
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  • 16. Multiple imputation of discrete and continuous data by fully conditional specification.
    van Buuren S.
    Stat Methods Med Res; 2007 Jun 20; 16(3):219-42. PubMed ID: 17621469
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  • 19. Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales.
    Eekhout I, de Vet HC, de Boer MR, Twisk JW, Heymans MW.
    Stat Methods Med Res; 2018 Apr 20; 27(4):1128-1140. PubMed ID: 27334917
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  • 20. 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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