BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

228 related articles for article (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
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 31(30):4164-74. PubMed ID: 22826110
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A nonparametric multiple imputation approach for missing categorical data.
    Zhou M; He Y; Yu M; Hsu CH
    BMC Med Res Methodol; 2017 Jun; 17(1):87. PubMed ID: 28587662
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 19(1):14. PubMed ID: 30630434
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Logistic regression vs. predictive mean matching for imputing binary covariates.
    Austin PC; van Buuren S
    Stat Methods Med Res; 2023 Nov; 32(11):2172-2183. PubMed ID: 37750213
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Comparison of Methods for Creating Multiple Imputations of Nominal Variables.
    Lang KM; Wu W
    Multivariate Behav Res; 2017; 52(3):290-304. PubMed ID: 28266876
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of several multiple imputation strategies for repeated measures analysis of clinical scales: to truncate or not to?
    Lipkovich I; Kadziola Z; Xu L; Sugihara T; Mallinckrodt CH
    J Biopharm Stat; 2014; 24(4):924-43. PubMed ID: 24697735
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiple imputation of semi-continuous exposure variables that are categorized for analysis.
    Nguyen CD; Moreno-Betancur M; Rodwell L; Romaniuk H; Carlin JB; Lee KJ
    Stat Med; 2021 Nov; 40(27):6093-6106. PubMed ID: 34423450
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 3(1):1-27. PubMed ID: 17350555
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 25(3):570-601. PubMed ID: 24905056
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiple imputation methods for missing multilevel ordinal outcomes.
    Dong M; Mitani A
    BMC Med Res Methodol; 2023 May; 23(1):112. PubMed ID: 37161419
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Rounding strategies for multiply imputed binary data.
    Demirtas H
    Biom J; 2009 Aug; 51(4):677-88. PubMed ID: 19650057
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gaussian-based routines to impute categorical variables in health surveys.
    Yucel RM; He Y; Zaslavsky AM
    Stat Med; 2011 Dec; 30(29):3447-60. PubMed ID: 21976366
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiple imputation for discrete data: Evaluation of the joint latent normal model.
    Quartagno M; Carpenter JR
    Biom J; 2019 Jul; 61(4):1003-1019. PubMed ID: 30868652
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A passive and inclusive strategy to impute missing values of a composite categorical variable with an application to determine HIV transmission categories.
    Pan Y; He Y; Song R; Wang G; An Q
    Ann Epidemiol; 2020 Nov; 51():41-47.e2. PubMed ID: 32711055
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiple imputation of discrete and continuous data by fully conditional specification.
    van Buuren S
    Stat Methods Med Res; 2007 Jun; 16(3):219-42. PubMed ID: 17621469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple imputation of missing genotype data for unrelated individuals.
    Souverein OW; Zwinderman AH; Tanck MW
    Ann Hum Genet; 2006 May; 70(Pt 3):372-81. PubMed ID: 16674559
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable.
    Grobler AC; Lee K
    Biom J; 2020 Mar; 62(2):467-478. PubMed ID: 31304611
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 27(4):1128-1140. PubMed ID: 27334917
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 14():57. PubMed ID: 24766825
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.