Sentence examples for missing data calculated from inspiring English sources

Adherence in a particular interval can be unknown for several reasons: the participant may fail to return the tablets (missing data), calculated adherence may be >100 %, or the tablets may be returned late, so a participant is issued with a new set of tablets before returning the first set.

To explore missing data, we calculated the proportion of each variable that was missing among dead patients and survivors at seven days.

The proportion of missing data was calculated at 1.91 %.

The distribution of missing data was calculated as the percentage of missing responses on all possible responses.

We contacted authors for missing data and calculated weighted mean differences (WMD) and 95% confidence intervals (CI) for each outcome.

The proportion of missing data was calculated for each item, and this enabled assessment of how well understood or how relevant the questions were.

The number of alleles per marker and percent of missing data were calculated for the remaining 380 genotypes with 34 markers (Table  2, Additional file 4: Table S4).

As to minimize the potential bias due to missing data, we calculated the prevalence of the complications, as well as their correlation with BMI z-score, in a sub-group of subjects without missing data (n = 174).

As a sensitivity analysis for missing data, we calculated ICCs using eq 1 for the subset of individuals that contributed three serum measurements (n = 40) and the results were similar (not shown).

The percentage of amino acid identity, the percentage of gaps and the uncorrected amino acid distances, corresponding to mean character differences per 100 aa adjusted for missing data, were calculated on the optimized protein alignment using PAUP* v4.0b10 [ 56].

Outlier spots and background noise were subtracted using the «Row Average Imputer» function and missing data were calculated through the «K-nearest neighbours» algorithm, both included in the R SAM software [ 25].