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Journal Abstract Search

777 related items for PubMed ID: 30630434

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study.
    De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ, Simpson JA.
    BMC Med Res Methodol; 2017 Jul 25; 17(1):114. PubMed ID: 28743256
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  • 3. 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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  • 4. Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata.
    De Silva AP, De Livera AM, Lee KJ, Moreno-Betancur M, Simpson JA.
    Biom J; 2021 Feb 06; 63(2):354-371. PubMed ID: 33103307
    [Abstract] [Full Text] [Related]

  • 5. A comparison of multiple imputation methods for missing data in longitudinal studies.
    Huque MH, Carlin JB, Simpson JA, Lee KJ.
    BMC Med Res Methodol; 2018 Dec 12; 18(1):168. PubMed ID: 30541455
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  • 7. A longitudinal transition imputation model for categorical data applied to a large registry dataset.
    Mamouris P, Nassiri V, Verbeke G, Janssens A, Vaes B, Molenberghs G.
    Stat Med; 2023 Dec 20; 42(29):5405-5418. PubMed ID: 37752860
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  • 9. 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. Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data.
    Welch CA, Petersen I, Bartlett JW, White IR, Marston L, Morris RW, Nazareth I, Walters K, Carpenter J.
    Stat Med; 2014 Sep 20; 33(21):3725-37. PubMed ID: 24782349
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  • 13. Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation.
    Lee KJ, Carlin JB.
    Am J Epidemiol; 2010 Mar 01; 171(5):624-32. PubMed ID: 20106935
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  • 14. 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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  • 18. 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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  • 19. Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study.
    Welch CA, Sabia S, Brunner E, Kivimäki M, Shipley MJ.
    BMC Med Res Methodol; 2018 Aug 29; 18(1):89. PubMed ID: 30157752
    [Abstract] [Full Text] [Related]

  • 20. Examining solutions to missing data in longitudinal nursing research.
    Roberts MB, Sullivan MC, Winchester SB.
    J Spec Pediatr Nurs; 2017 Apr 29; 22(2):. PubMed ID: 28425202
    [Abstract] [Full Text] [Related]

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