Multiple imputation was designed to handle the problem of missing data in public-use data bases where the data-base constructor and the ultimate user are distinct entities. The objective is valid frequency inference for ultimate users who in general have access only to complete-data software and ...
Multiple Imputation After 18+ Years 来自 ResearchGate 喜欢 0 阅读量: 313 作者: Donald B. Rubin 摘要: Multiple imputation was designed to handle the problem of missing data in public-use data bases where the data-base constructor and the ultimate user are distinct entities. The objective is ...
Multiple Imputation •Originated by Donald Rubin (Multiple imputation for nonresponse in surveys, Wiley, 1987; Multiple imputation after 18+ years, Journal of the American Statistical Association,1996, 473-489)•MI is a simulation-based procedure. Its purpose is not to re-create the individual ...
Multiple Imputation After 18+ Years Multiple imputation was designed to handle the problem of missing data in public-use data bases where the data-base constructor and the ultimate user are d... DB Rubin - 《Publications of the American Statistical Association》 被引量: 4952发表: 1996年 Tutoria...
(StataCorp) September 16, 2011 2 / 45 Chained equations and more in multiple imputation in Stata 12 Brief overview of MI Multiple imputation (MI) is a principled, simulation-based approach for analyzing incomplete data MI procedure 1) replaces missing values with multiple sets of simulated ...
Rubin DB: Multiple imputation after 18+ years. Journal of the American Statistical Association. 1996, 91: 473-489. 10.2307/2291635. Article Google Scholar Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR: A simulation study of the number of events per variable in logistic regression...
Rubin DB: Multiple imputation after 18+ years. Journal of the American Statistical Association. 1996, 91: 473-489. 10.2307/2291635. Article Google Scholar Dempster AP, Laird NM, Rubin DB: Maximum likelihood from incomplete data via the EM algorithm. J Royal Stat Soc B. 1977, 39 (1): 1...
Gaps in the usage and reporting of multiple imputation for incomplete data: findings from a scoping review of observational studies addressing causal questions Rheanna M. Mainzer, Margarita Moreno-Betancur, Cattram D. Nguyen, Julie A. Simpson, John B. Carlin & Katherine J. Lee BMC Medi...
After controlling for FDR, 139 individual metabolomic profiles were significantly associated with brain volumes (Fig. 6). When age and sex were adjusted for, this number was reduced to 51 (Figure S5). Lipids (medium VLDL, small LDL/HDL, large LDL/HDL, very large LDL/HDL), fatty acids (...
Multiple imputation of missing data values showed no evidence of bias in the comparison of treatments. However, the HRQoL data were substantially weakened in this double-blind trial by poor compliance in questionnaire completion as the study progressed. HRQoL data from the NMSG (Hjorth et al.). ...