Sentence examples for missing data mean from inspiring English sources

Imputation of missing data (mean HbA1c, BMI, and serum creatinine) was performed using standard regression techniques.

We observed low per-individual rates of both missing data (mean = 2.1%; median = 0.6%) and genotyping errors (mean = 0.2%; median = 0.05%) across the dataset.

Numerical data were summarized by means of standard statistics (i.e. number of available data, number of missing data, mean, standard deviation, minimum, median, maximum, lower and upper quartile).

Using an item-level missing data mean substitution rule, predicated on a resident having at least a majority of items present, the frequency of missing data for scale scores diminished for the GDS-derived scales.

Numerical data will be summarised by means of standard statistics (i.e. number of available data, number of missing data, mean, standard deviation, minimum, median, maximum, lower and upper quartile).

To account for missing data, mean change in visual acuity was assessed using a last observation carried forward (LOCF) analysis.

Even for these patients, missing data meant that imputation was required to produce a rectangular data set.

3 Further exclusion of patient records and NHS trusts with missing data meant this analysis included 62% of all potential cases.

For PVE estimation for maternal rank and social connectedness, missing data meant that we conducted our analysis on n = 52 and n = 47 individuals, respectively.

The different cohort contexts (size, current age, and geographic spread) together with missing data meant cross cohorts comparisons of retention and attrition was not possible or appropriate.

This level of missing data means we have no prospective data as to whether and how women changed their plans after birth; rather we have had to rely on their comments in the postal surveys.