However, we had many missing values for income, whereas education level was only missing for two subjects.
Only six strains have more than 1% missing values in the MDA genotypes, whereas only three strains have less than 1% missing values in the Prior genotypes.
Specifically, features with high percentage (>90%) of missing values are omitted from our analysis, whereas the values of the features with less percentage of missing values are imputed with the modes and means, in the case of nominal and numeric features, respectively.
Removing the missing gene rows may result in omitting some important genes, such as the genes related to diseases, whereas the badly estimated missing values even changes the quality of data, which could influence the accuracy of clustering results.
Otherwise, missing values that occur intermixed with non-missing values are intermittent missing values.
Missing values within biologic replicates were generated by imputing, whereas missing values were assigned a maximum of Cq = 38.
Of the women excluded due to missing covariate information, 7% were missing maternal age, whereas other covariates had low proportions of missing values (~ ≤ 1%).
Completeness was best for EQ-5D and SGRQ, whereas the SF-12 showed the highest proportion of missing values with more than 30% without a utility score.
Among the study participants with missing values that were removed from the regression analyses, 23.4% reported APP, whereas 21.3% of those that were included reported APP.
The symptom variables, for instance, have no missing information whereas the exposure variables seem to have between 6-8% missing values.
