The phrase "after the imputation" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or any situation where data is being filled in or estimated after missing values have been addressed.
Example: "The results were analyzed after the imputation of missing data to ensure accuracy."
Alternatives: "following the imputation" or "subsequent to the imputation".
Effectiveness GSI was imputed for the repeated measurement data, and after the imputation the AUC was constructed from the imputed values using equation (4) given in the Appendix.
SMI and MMI methods may easily be combined with principal component analyses, which can be applied after the imputation of missing values in background variables.
Recent research by a number of investigators has led to the development of important diagnostics that can be utilized before and after the imputation process (Abayomi, Gelman, & Levy, 2008; Carpenter & Kenward, 2008; Graham, 2009; Marchenko & Eddings, 2011; Raghunathan & Bondarenko, 2007; Stuart et al., 2009; Su, Gelman, Hill, & Yajima, White et al., 2011 2011; Van Buuren & Oudshoorn, 2011).
Scores (for example the CES-D score) were recalculated after the imputation step.
After the imputation procedure, all values beyond the range were cut off to the smallest and the largest value.
Since the assumptions of the parametric test were not quite fulfilled, a non-parametric test was also carried out after the imputation (Mann Whitney test P<0.001).
After the imputations are completed, all the data (complete and imputed) will be combined and the analysis performed for each imputed-and-completed dataset.
After the imputations are completed, all of the data (complete and imputed) will be combined and the analysis performed for each imputed-and-completed dataset.
For each case, we compared the true cause-specific survival with the pooled cause-specific survival after the imputations of causes of death had been performed.
If similar sensitivity and specificity values were achieved before and after imputation, the imputation method was considered to be consistent with the measured data, thus permitting further ranking of the tests and further study using the much larger integrated and imputed data that was subsequently available.
The technique involves 'taking out' one complete sample for which the values of both input variables and the value of diagnostic test under imputation are known; then after applying the imputation method, the two values are compared and accuracy is calculated based on the ratio between the number of correctly imputed values and all imputation values.
