Sentence examples for missing data meant from inspiring English sources

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

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.

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

Furthermore, missing data occurred at variable rates depending on the outcome, which may result in differences in power for each outcome; for example, in the calculation of SGA and LGA composite outcomes, missing data meant that more than 20% of the sample were without this composite measure.

The Mini-AQLQ (asthma), the CCQ (COPD) and the DHP (diabetes) also had little missing data, although the cumulative effect of missing data meant that the rate of missing data of the change score between baseline and follow up was >10% for some dimensions.

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.

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 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).

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).