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We carried out multiple imputation analyses with 5 imputed datasets based on Rubin's multivariate normal model [ 37] to assess potential biases due to missing values in our data.
Multiple imputation analyses yielded similar results.
Complete case and multiple imputation analyses were conducted.
Complete case analyses showed similar results to the multiple imputation analyses as presented throughout the manuscript.
The cost of multiple imputation analyses is small compared with the cost of collecting the data.
Results from multiple imputation analyses were generally consistent with those shown in Table 2.
Similar(10)
QoL significantly improved the prognostic indices with both methods (complete-case and multiple-imputation analyses).
To account for missing data at follow-up, the intention-to-treat analyses were repeated using multiple imputation sensitivity analyses (28).
Thus, other methods of examining missing data, for example, propensity scores, EM algorithm and multiple imputation sensitivity analyses, will be considered.
Multiple imputation allows analyses that can result in valid statistical inferences, while still incorporating the uncertainty of missing values (Schafer, 1977; Burton and Altman, 2004).
We will employ multiple imputation in analyses in which substantial portions of data are missing and the MAR assumption is suspect.
More suggestions(14)
multiple sensitivity analyses
multiple mediation analyses
multiple imputation methods
multiple imputation data
multiple endpoint analyses
multiple replicate analyses
multiple imputation techniques
multiple regression analyses
multiple imputation models
multiple correlation analyses
multiple imputation approaches
multiple correspondence analyses
multiple imputation datasets
multiple group analyses
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