BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 33176896)

  • 1. Multiple Imputation in Multilevel Models. A Revision of the Current Software and Usage Examples for Researchers.
    García-Patos P; Olmos R
    Span J Psychol; 2020 Nov; 23():e46. PubMed ID: 33176896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Review and evaluation of imputation methods for multivariate longitudinal data with mixed-type incomplete variables.
    Cao Y; Allore H; Vander Wyk B; Gutman R
    Stat Med; 2022 Dec; 41(30):5844-5876. PubMed ID: 36220138
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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; 18(1):168. PubMed ID: 30541455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Comparison of Multilevel Imputation Schemes for Random Coefficient Models: Fully Conditional Specification and Joint Model Imputation with Random Covariance Matrices.
    Enders CK; Hayes T; Du H
    Multivariate Behav Res; 2018; 53(5):695-713. PubMed ID: 30693802
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. A fully conditional specification approach to multilevel imputation of categorical and continuous variables.
    Enders CK; Keller BT; Levy R
    Psychol Methods; 2018 Jun; 23(2):298-317. PubMed ID: 28557466
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiple imputation of missing data in multilevel models with the R package mdmb: a flexible sequential modeling approach.
    Grund S; Lüdtke O; Robitzsch A
    Behav Res Methods; 2021 Dec; 53(6):2631-2649. PubMed ID: 34027594
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 20(1):207. PubMed ID: 32787781
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple imputation as a flexible tool for missing data handling in clinical research.
    Enders CK
    Behav Res Ther; 2017 Nov; 98():4-18. PubMed ID: 27890222
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.
    Enders CK; Du H; Keller BT
    Psychol Methods; 2020 Feb; 25(1):88-112. PubMed ID: 31259566
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note.
    Grund S; Lüdtke O; Robitzsch A
    Behav Res Methods; 2016 Jun; 48(2):640-9. PubMed ID: 25939979
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A comparison of existing methods for multiple imputation in individual participant data meta-analysis.
    Kunkel D; Kaizar EE
    Stat Med; 2017 Sep; 36(22):3507-3532. PubMed ID: 28695667
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biases in multilevel analyses caused by cluster-specific fixed-effects imputation.
    Speidel M; Drechsler J; Sakshaug JW
    Behav Res Methods; 2018 Oct; 50(5):1824-1840. PubMed ID: 28840562
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiple imputation of missing data in multilevel designs: A comparison of different strategies.
    Lüdtke O; Robitzsch A; Grund S
    Psychol Methods; 2017 Mar; 22(1):141-165. PubMed ID: 27607544
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dealing with missing information on covariates for excess mortality hazard regression models - Making the imputation model compatible with the substantive model.
    Antunes L; Mendonça D; Bento MJ; Njagi EN; Belot A; Rachet B
    Stat Methods Med Res; 2021 Oct; 30(10):2256-2268. PubMed ID: 34473604
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model.
    Seaman SR; Hughes RA
    Stat Methods Med Res; 2018 Jun; 27(6):1603-1614. PubMed ID: 27597798
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiple imputation by chained equations for systematically and sporadically missing multilevel data.
    Resche-Rigon M; White IR
    Stat Methods Med Res; 2018 Jun; 27(6):1634-1649. PubMed ID: 27647809
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Handling missing data in matched case-control studies using multiple imputation.
    Seaman SR; Keogh RH
    Biometrics; 2015 Dec; 71(4):1150-9. PubMed ID: 26237003
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.