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Five imputed datasets were created and the command mim was used to run mixed logistic and mixed regression models with complete datasets similar to the models described above.
Ten imputed datasets were created and imputations were combined.
28 Five datasets were created and analysed together.
Ten imputed datasets were created and analysed by logistic regression applying the generalised estimating equation method.
Fifteen imputed datasets were created and analysis results were averaged across these datasets [ 36].
To reduce the computational time, only m = 5 imputed datasets were created and only 200 replications performed.
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A total of 10 replicates of each simulated dataset were created, and the mean percent of total data points that are missing across the 10 replicates is shown in Table 1.
Another type is administrative metadata with elements such as the license, intellectual property rights, when and how the dataset was created, and who has access to it [11].
For each outcome variable, a separate MI dataset was created, and resulting estimates were combined by the MIM command in STATA.
A dataset was created and a strategy developed to evaluate the accuracy of genomic selection approaches in livestock populations, especially when targeting populations where progeny-tested breeding values are not available on large numbers of individuals.
The proposed datasets were created for human and several model organisms and are publicly available at http://www.expressiondata.org.org
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