"Imputational" Example Sentences
1. The imputational process took hours to complete.
2. There was an error in the imputational data.
3. The imputational technique used statistical algorithms.
4. The imputational method used was highly accurate.
5. The imputational analysis revealed some interesting patterns.
6. The imputational program needed to be updated.
7. The imputational procedure required trained professionals.
8. The imputational model was based on historical data.
9. The imputational approach used was criticized by some experts.
10. The imputational system was designed to handle large datasets.
11. The imputational tool provided valuable insights.
12. The imputational software was easy to use.
13. The imputational process was automated for efficiency.
14. The imputational algorithm was refined over several iterations.
15. The imputational framework was designed to account for missing data.
16. The imputational strategy used was dependent on the type of data being analyzed.
17. The imputational module was integrated into the overall analysis pipeline.
18. The imputational methodology was validated using simulation studies.
19. The imputational output was used to make predictions about future trends.
20. The imputational error rate was considered acceptable for the analysis.
21. The imputational method used imputation by regression.
22. The imputational approach was compared to other imputation methods.
23. The imputational algorithm used advanced machine learning techniques.
24. The imputational model was adjusted to handle outliers in the data.
25. The imputational system was tested on a variety of different datasets.
26. The imputational tool was highly configurable to suit specific analysis needs.
27. The imputational software was able to handle missing data in various formats.
28. The imputational process was optimized for speed.
29. The imputational framework was capable of handling complex data structures.
30. The imputational strategy used was robust to various forms of missingness.
Common Phases
1. The
imputational method was used to fill missing data in the dataset;
2.
Imputational analysis was carried out to estimate the values of variables that were not measured;
3. The
imputational approach is commonly used in epidemiology to deal with missing data;
4.
Imputational techniques such as multiple imputation and maximum likelihood estimation are used to handle missing data;
5. The
imputational models used in this study provided reliable estimates of missing values;
6. The
imputational algorithm used in this analysis was based on the expectation-maximization method.