223 related articles for article (PubMed ID: 34027594)
1. 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]
2. Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation.
Lüdtke O; Robitzsch A; West SG
Psychol Methods; 2020 Apr; 25(2):157-181. PubMed ID: 31478719
[TBL] [Abstract][Full Text] [Related]
3. Substantive model compatible multilevel multiple imputation: A joint modeling approach.
Quartagno M; Carpenter JR
Stat Med; 2022 Nov; 41(25):5000-5015. PubMed ID: 35959539
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. Multiple imputation for longitudinal data using Bayesian lasso imputation model.
Yamaguchi Y; Yoshida S; Misumi T; Maruo K
Stat Med; 2022 Mar; 41(6):1042-1058. PubMed ID: 35064581
[TBL] [Abstract][Full Text] [Related]
9. An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions.
Keller BT; Enders CK
Multivariate Behav Res; 2023; 58(5):938-963. PubMed ID: 36602079
[TBL] [Abstract][Full Text] [Related]
10. Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.
Ji L; Li Y; Potter LN; Lam CY; Nahum-Shani I; Wetter DW; Chow SM
Front Digit Health; 2023; 5():1099517. PubMed ID: 38026834
[TBL] [Abstract][Full Text] [Related]
11. A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models.
Aßmann C; Gaasch JC; Stingl D
Psychometrika; 2023 Dec; 88(4):1495-1528. PubMed ID: 36418780
[TBL] [Abstract][Full Text] [Related]
12. A Bayesian multiple imputation approach to bivariate functional data with missing components.
Jang JH; Manatunga AK; Chang C; Long Q
Stat Med; 2021 Sep; 40(22):4772-4793. PubMed ID: 34102703
[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. 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]
15. Sequential BART for imputation of missing covariates.
Xu D; Daniels MJ; Winterstein AG
Biostatistics; 2016 Jul; 17(3):589-602. PubMed ID: 26980459
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.
Gomes M; Díaz-Ordaz K; Grieve R; Kenward MG
Med Decis Making; 2013 Nov; 33(8):1051-63. PubMed ID: 23913915
[TBL] [Abstract][Full Text] [Related]
18. Multilevel multiple imputation: A review and evaluation of joint modeling and chained equations imputation.
Enders CK; Mistler SA; Keller BT
Psychol Methods; 2016 Jun; 21(2):222-40. PubMed ID: 26690775
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials.
Blette BS; Halpern SD; Li F; Harhay MO
Stat Methods Med Res; 2024 May; 33(5):909-927. PubMed ID: 38567439
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]