181 related articles for article (PubMed ID: 35162406)
1. Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression.
Carli M; Ward MH; Metayer C; Wheeler DC
Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162406
[TBL] [Abstract][Full Text] [Related]
2. Accounting for the uncertainty due to chemicals below the detection limit in mixture analysis.
Hargarten PM; Wheeler DC
Environ Res; 2020 Jul; 186():109466. PubMed ID: 32344207
[TBL] [Abstract][Full Text] [Related]
3. Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk.
Wheeler DC; Rustom S; Carli M; Whitehead TP; Ward MH; Metayer C
Int J Environ Res Public Health; 2021 Mar; 18(7):. PubMed ID: 33801661
[TBL] [Abstract][Full Text] [Related]
4. BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach.
Shah J; Brock GN; Gaskins J
BMC Bioinformatics; 2019 Dec; 20(Suppl 24):673. PubMed ID: 31861984
[TBL] [Abstract][Full Text] [Related]
5. Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations.
Jolani S
Biom J; 2018 Mar; 60(2):333-351. PubMed ID: 28990686
[TBL] [Abstract][Full Text] [Related]
6. Multiple imputation with missing data indicators.
Beesley LJ; Bondarenko I; Elliot MR; Kurian AW; Katz SJ; Taylor JM
Stat Methods Med Res; 2021 Dec; 30(12):2685-2700. PubMed ID: 34643465
[TBL] [Abstract][Full Text] [Related]
7. Multiple imputation in the presence of high-dimensional data.
Zhao Y; Long Q
Stat Methods Med Res; 2016 Oct; 25(5):2021-2035. PubMed ID: 24275026
[TBL] [Abstract][Full Text] [Related]
8. Simulation-based estimators of analytically intractable causal effects.
Linero AR
Biometrics; 2022 Sep; 78(3):1001-1017. PubMed ID: 34051105
[TBL] [Abstract][Full Text] [Related]
9. Dealing with missing covariates in epidemiologic studies: a comparison between multiple imputation and a full Bayesian approach.
Erler NS; Rizopoulos D; Rosmalen Jv; Jaddoe VW; Franco OH; Lesaffre EM
Stat Med; 2016 Jul; 35(17):2955-74. PubMed ID: 27042954
[TBL] [Abstract][Full Text] [Related]
10. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
11. Standard and reference-based conditional mean imputation.
Wolbers M; Noci A; Delmar P; Gower-Page C; Yiu S; Bartlett JW
Pharm Stat; 2022 Nov; 21(6):1246-1257. PubMed ID: 35587109
[TBL] [Abstract][Full Text] [Related]
12. Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data.
Resche-Rigon M; White IR; Bartlett JW; Peters SA; Thompson SG;
Stat Med; 2013 Dec; 32(28):4890-905. PubMed ID: 23857554
[TBL] [Abstract][Full Text] [Related]
13. Infinite hidden Markov models for multiple multivariate time series with missing data.
Hoskovec L; Koslovsky MD; Koehler K; Good N; Peel JL; Volckens J; Wilson A
Biometrics; 2023 Sep; 79(3):2592-2604. PubMed ID: 35788984
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Prediction Model Performance With Different Imputation Strategies: A Simulation Study Using a North American ICU Registry.
Steif J; Brant R; Sreepada RS; West N; Murthy S; Görges M
Pediatr Crit Care Med; 2022 Jan; 23(1):e29-e44. PubMed ID: 34560774
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. An Approach to Addressing Multiple Imputation Model Uncertainty Using Bayesian Model Averaging.
Kaplan D; Yavuz S
Multivariate Behav Res; 2020; 55(4):553-567. PubMed ID: 31538505
[TBL] [Abstract][Full Text] [Related]
18. 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; 17(1):114. PubMed ID: 28743256
[TBL] [Abstract][Full Text] [Related]
19. Nonlinear multiple imputation for continuous covariate within semiparametric Cox model: application to HIV data in Senegal.
Mbougua JB; Laurent C; Ndoye I; Delaporte E; Gwet H; Molinari N
Stat Med; 2013 Nov; 32(26):4651-65. PubMed ID: 23712767
[TBL] [Abstract][Full Text] [Related]
20. Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data.
Ke X; Keenan K; Smith VA
BMC Med Res Methodol; 2022 Dec; 22(1):326. PubMed ID: 36536286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]