Sentence examples for dataset was missing from inspiring English sources

An investigation by the Wall Street Journal found that the FBI dataset was missing more than 550 police killings between 2007 and 2012 from 105 of the country's largest police departments.

If a SNP marker in PASNP dataset was missing in HapMap2, the nearest neighboring position was chosen to represent the position.

"Balanced"—in which the ratio M/F was 1 1 "M+"—in which the M/F ratio was 3 1 "F+"—in which the M/F ratio was 1 3 "NonRand"—in which the overall ratio was 1 1 and 50% of the dataset was missing, but the probability of being missing (pmix) was three times higher for males than for females.

"Balanced"—in which the ratio M/F was 1 1 "M+"—in which the M/F ratio was 3 1 "F+"—in which the M/F ratio was 1 3 "NonRand"—in which the overall ratio was 1 1 and 50% of the dataset was missing, but the probability of being missing (p mix) was three times higher for males than for females.

14 Calculating this proportion of missing cases may be straightforward in studies with only a single or two measurement points, but in our longitudinal design, at least one variable in the dataset was missing in most patients, while in others (namely the nonrespondents), a large proportion of the variables of interest for the planned analysis are missing.

In total, 6.8 % of the values of all variables in the dataset were missing.

And finally, one main limitation with this, and any longitudinal dataset, is missing data and sample attrition.

P-values for genes that were not represented on the Affymetrix HG U95Av2 microarray used for the validation dataset are missing.

We assumed that any missing HRQoL values in these datasets were Missing Completely at Random (MCAR).

Out of 7,124 datasets in the German Health Survey- 1998, 228 (4.0%) MCS and PCS datasets were missing; therefore analysis was based on 6,836 consecutive patients.

The approach we have taken has a number of advantages both when datasets are missing an income measure entirely as well as for those where it is imprecisely measured.