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Journal Abstract Search

175 related items for PubMed ID: 37750213

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  • 2. 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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  • 3. Imputation strategies when a continuous outcome is to be dichotomized for responder analysis: a simulation study.
    Floden L, Bell ML.
    BMC Med Res Methodol; 2019 Jul 23; 19(1):161. PubMed ID: 31345166
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  • 4. 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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  • 10. Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable.
    Grobler AC, Lee K.
    Biom J; 2020 Mar 30; 62(2):467-478. PubMed ID: 31304611
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  • 12. 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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  • 13. Tuning multiple imputation by predictive mean matching and local residual draws.
    Morris TP, White IR, Royston P.
    BMC Med Res Methodol; 2014 Jun 05; 14():75. PubMed ID: 24903709
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  • 14. Imputation strategies for missing binary outcomes in cluster randomized trials.
    Ma J, Akhtar-Danesh N, Dolovich L, Thabane L, CHAT investigators.
    BMC Med Res Methodol; 2011 Feb 16; 11():18. PubMed ID: 21324148
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  • 16. A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables.
    Wu W, Jia F, Enders C.
    Multivariate Behav Res; 2015 Feb 16; 50(5):484-503. PubMed ID: 26610248
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  • 17. Solving the many-variables problem in MICE with principal component regression.
    Costantini E, Lang KM, Sijtsma K, Reeskens T.
    Behav Res Methods; 2024 Mar 16; 56(3):1715-1737. PubMed ID: 37540467
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  • 18. A fair comparison of tree-based and parametric methods in multiple imputation by chained equations.
    Slade E, Naylor MG.
    Stat Med; 2020 Apr 15; 39(8):1156-1166. PubMed ID: 31997388
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  • 19. Multiple imputation in the presence of non-normal data.
    Lee KJ, Carlin JB.
    Stat Med; 2017 Feb 20; 36(4):606-617. PubMed ID: 27862164
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  • 20. Multiple imputation for non-response when estimating HIV prevalence using survey data.
    Chinomona A, Mwambi H.
    BMC Public Health; 2015 Oct 16; 15():1059. PubMed ID: 26475303
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