However, in some cases, analysts may need more information or statistics from the imputation process to help them with their analyses. The purpose of this paper is to demonstrate how to use SAS/STAT and SAS/IML to build model-based multiple imputation macros such that analysts can streamline ...
(1998). A comparison of model- and multiple-imputation- based approaches to longitudinal analyses with partial missingness. Structural Equation Modeling, 5, 1-21.Duncan, T. E., Duncan, S. C., and Li, F.: A comparison of model- and multiple imputation-based approaches to longitudinal ...
Not Asked and Not Answered: Multiple Imputation for Multiple Surveys We also develop diagnostics for checking the fit of the imputation model based on comparing imputed data to nonimputed data. We illustrate with the ... Andrew,Gelman,Gary,... - 《Publications of the American Statistical Associat...
Model-based standardization using multiple imputation Background When studying the association between treatment and a clinical outcome, a parametric multivariable model of the conditional outcome expectation ... A Remiro-Azócar,A Heath,G Baio - 《Bmc Medical Research Methodology》 被引量: 0发表: 202...
We focus on performing multiple imputation by chained equations when data contain multiple incomplete multi-item scales. Recent authors have proposed imputing such data at the level of the individual item, but this can lead to infeasibly large imputation models. We use data gathered from a large ...
We present three multiple imputation estimates for the Cox model with missing covariates. Two of the suggested estimates are asymptotically equivalent to estimates in the literature when the number of multiple imputations approaches infinity. The third estimate can be implemented using standard software ...
(2005), and the idea of converting binary and ordinal longitudinal outcomes to multivariate normal outcomes in a sensible way so that re-conversion to the original scale yields the original specified marginal expectations and correlations after performing multiple imputation (Demirtas and Hedeker, 2007...
All these results confirm that under the normal inverse gamma prior, Bayesian imputation under normal linear model converges to the corresponding multivariate normal distribution. Conclusion Based on the theory of the non-informative margins condition proposed by Hughes et al.6, we prove the convergence...
Multiple imputation under the assumption of multivariate normality has emerged as a frequently used model-based approach in dealing with incomplete continu... H Demirtas,SA Freels,RM Yucel - 《Journal of Statistical Computation & Simulation》 被引量: 138发表: 2008年 Factor Analysis and Missing Data...
a–c, UMAP representations of the latent spaces learned by MultiVI (a), Cobolt (b) and Seurat using the RNA-imputation based integration (c), for various rates of unpaired data, colored by cell modality.d, Modality enrichment (LISI score), computed as the fraction of neighbors of the KNN...