Sentence examples for missing data cases from inspiring English sources

Among all of the couples, female spouses with only an elementary or lower education in total was 60.3 %; the proportions of secondary school graduates, high school graduates, and those who received higher education were 21.2, 10.5, and 4.1%%, respectively, and missing data cases in total were 3.9%%.

For missing data cases were excluded pairwise.

In the following sections, the conditional ML estimates are provided for both the complete data and missing data cases.

However, the proposed method (GREAL) in [ 15] is not well-suited for the xor-genotypes with large number of SNPs, i.e., usually limited by 30 SNPs [ 18], and is not extended to missing data cases.

Because of the nature of missing data (e.g. age, date and time), comparison for analysable factors for missing data cases versus cases with available data was unable to be performed.

Usually missing data cases are known as "available cases" and the possible solution is either to omit the missing data or to use an imputation method, although controversies remain.

Moreover, in order to extend the applicability of ST-IAA to signals in the missing data case, we also propose a short-time missing-data iterative adaptive approach (ST-MIAA) which can retrieve the missing data effectively and outperform ST-IAA and ST-SLIM in the missing data case.

As an example, with 100 cases and 40% missing data, 60 cases have complete data.

Of the 428 enrolled, 17 were excluded (malignancies (14 cases), burns (one case), polytrauma (one case) and missing data (one case)).

Hence analyses, which exclude cases with missing data (complete case analysis (CCA)), can be biased [ 26].

Results for survival analyses conducted on imputed data represent a combination of analyses for each of the 50 data sets and are presented alongside the results from analyses excluding cases with missing data (complete case analysis) for comparison.