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Complete sequences (total missing data less than 0.3%) were generated for the 19 COSII.
Records with missing data (less than 0.3% of births) were excluded from the model.
Examination of patterns of missing data (less than 20% on any variable) showed that they were missing at random with respect to measured covariates.
For participants with missing data less than 30%, missing values were imputed using expectation-maximization procedure within the statistical software PASW Statistics (Version 18.0).
In the second scenario, we considered indicators with correlations more than 0.2, significance level of less than 0.05, and missing data less than 20%.
Of these, only T stage and N stage could potentially influence the decision to use adjuvant RT, making the significance of this missing data less likely.
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It is important to note that subjects with some missing data were less educated, less likely to have private insurance, and more likely to be members of minority ethnic groups in both 2005 and 2008.
It was determined that subjects with some missing data were less educated, less likely to be covered by private insurance, and more likely to be members of minority ethnic groups.
Data loss owing to missing data was less than 1%.
Overall missing data were less than 10%.
The percentage of missing data was less than 5% for each of the dependent variables.
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