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 •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 ...
(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 ...
Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes. Int J Epidemiol. 2005;34:89–99. 3. Rubin D. Multiple imputation after 18+ years. J Am Stat Assoc. 1996;91:473–89. 4. Arnold AM, Kronmal RA. Multiple imputation of ...
Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes. Int J Epidemiol. 2005;34:89–99. 3. Rubin D. Multiple imputation after 18+ years. J Am Stat Assoc. 1996;91:473–89. 4. Arnold AM, Kronmal RA. Multiple imputation of ...
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...
D.B. Rubin Multiple imputation after 18+ years J Am Stat Assoc, 91 (1996), pp. 473-489 View in ScopusGoogle Scholar [8] K.G. Moons, R.A. Donders, T. Stijnen, F.E. Harrell Using the outcome for imputation of missing predictor values was preferred J Clin Epidemiol, 59 (2006), ...
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...
P. (2010), "A note on Bayesian inference after multiple imputation," The American Statistician, 64, 159-163.Zhou X, Reiter JP. A note on bayesian inference after multiple imputation. Am Stat. 2010; 64 :159–163. doi: 10.1198/tast.2010.09109. [ Cross Ref ]...
which have no missing values. The missing values are imputed multiple times in order to account for the the uncertainty of imputation, and then each imputed dataset is used to fit the analysis model parametersθ18proposed a simple method for combining these analysis results from multiple imputed ...