These scores were imputed by multiple imputation and included in analysis.
Table 3 shows that estimates of μ based on Tobit regression, multiple imputation, and single impute fill-in approaches are generally unbiased.
The first method models cumulative costs and effectiveness using generalized linear models, multiple imputation and bootstrap techniques.
The approach combines multiple imputation and copula sampling to produce a stochastic individual tree growth and yield projection system.
We begin by examining the theoretical underpinnings of multiple imputation and then briefly describe traditional imputation approaches.
b) We address missing data at single measurements of a repeated measurement study by using the multiple imputation and data augmentation techniques.
Based on a comprehensive set of carefully controlled experiments, we conclude that Bayesian multiple imputation and regression imputation are the most effective techniques, while mean imputation performs extremely poorly.
We compared the point estimates and 95% confidence intervals of the coefficients in Tables 2 and 3 to those with multiple imputation and survey weighting adjustment and found that the results were consistent.
Nevertheless, this point was carefully taken into account and corrected by the statistical methodology using both multiple imputation and bootstrapping [14].
Using multiple imputation and simulation methods, levels of aspirin and ibuprofen use were adjusted to reflect both random and systematic sources of underascertainment of their use [38].
Tables 4 and 5 suggest that the multiple imputation and mixed model approaches had comparable power, except in cases with substantial missing data (RCT 9 & RCT 10) where the mixed model approaches appear more powerful.
