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Two methods of imputing missing values, last-observation-carried-forward (LOCF) and the median imputation, were applied for single items missing and for total questionnaire missing at T1 and T2 (those lost to the follow-ups).
All four methods of imputing missing genotypes produced similar (0.71) accuracy values.
The robustness of the results will be investigated performing sensitivity analyses with different methods of imputing missing values.
The results were similar when analyses were repeated using different methods of imputing average frequency or length of calls from a range (not in table).
The results suggest that different methods of imputing missing genotypes did not have a noticeable effect on the accuracy of predictions in this study (Table 1).
For GBS marker application in genomic selection, methods of imputing missing data points for unordered markers have been developed (Rutkoski et al. 2013).
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Comparison of the multiple imputation approach and the simpler method of imputing missing values as sex specific means showed no qualitative difference in the interpretation of the results between the two methods.
But it would require physicists to go back to their blackboards for another method of imputing mass to particles.
To check the sensitivity of our method of imputing missing values, we also predicted the missing values by regressing them on other background characteristics.
Singer and Willet [ 30] argue that the method of imputing the time-varying predictors when they are not observed, by carrying forward the most recent value (as was used here, see Statistical Analysis section), is most likely to result in a conservative estimate.
In this study we compared a range of methods for imputing limited-range variables with varying amounts of skewness, with and without applying a de-skewing transformation prior to imputation.
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