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Journal Abstract Search
260 related items for PubMed ID: 33843085
1. Evaluation of predictive model performance of an existing model in the presence of missing data. Li P, Taylor JMG, Spratt DE, Karnes RJ, Schipper MJ. Stat Med; 2021 Jul 10; 40(15):3477-3498. PubMed ID: 33843085 [Abstract] [Full Text] [Related]
2. On the use of multiple imputation to address data missing by design as well as unintended missing data in case-cohort studies with a binary endpoint. Middleton M, Nguyen C, Carlin JB, Moreno-Betancur M, Lee KJ. BMC Med Res Methodol; 2023 Dec 07; 23(1):287. PubMed ID: 38062377 [Abstract] [Full Text] [Related]
4. Comparison between inverse-probability weighting and multiple imputation in Cox model with missing failure subtype. Guo F, Langworthy B, Ogino S, Wang M. Stat Methods Med Res; 2024 Feb 07; 33(2):344-356. PubMed ID: 38262434 [Abstract] [Full Text] [Related]
5. Propensity score analysis with partially observed covariates: How should multiple imputation be used? Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, Resche-Rigon M, Carpenter JR, Williamson EJ. Stat Methods Med Res; 2019 Jan 07; 28(1):3-19. PubMed ID: 28573919 [Abstract] [Full Text] [Related]
6. Review of inverse probability weighting for dealing with missing data. Seaman SR, White IR. Stat Methods Med Res; 2013 Jun 07; 22(3):278-95. PubMed ID: 21220355 [Abstract] [Full Text] [Related]
8. Missing Data in Marginal Structural Models: A Plasmode Simulation Study Comparing Multiple Imputation and Inverse Probability Weighting. Liu SH, Chrysanthopoulou SA, Chang Q, Hunnicutt JN, Lapane KL. Med Care; 2019 Mar 07; 57(3):237-243. PubMed ID: 30664611 [Abstract] [Full Text] [Related]
9. Combining multiple imputation and inverse-probability weighting. Seaman SR, White IR, Copas AJ, Li L. Biometrics; 2012 Mar 07; 68(1):129-37. PubMed ID: 22050039 [Abstract] [Full Text] [Related]
10. Improving upon the efficiency of complete case analysis when covariates are MNAR. Bartlett JW, Carpenter JR, Tilling K, Vansteelandt S. Biostatistics; 2014 Oct 07; 15(4):719-30. PubMed ID: 24907708 [Abstract] [Full Text] [Related]
18. Missing data approaches for probability regression models with missing outcomes with applications. Qi L, Sun Y. J Stat Distrib Appl; 2014 Jan 13; 1():. PubMed ID: 26900543 [Abstract] [Full Text] [Related]
19. Inverse Probability of Treatment Weighting and Confounder Missingness in Electronic Health Record-based Analyses: A Comparison of Approaches Using Plasmode Simulation. Vader DT, Mamtani R, Li Y, Griffith SD, Calip GS, Hubbard RA. Epidemiology; 2023 Jul 01; 34(4):520-530. PubMed ID: 37155612 [Abstract] [Full Text] [Related]