Sentence examples for much missing data from inspiring English sources

Exact(33)

However, after removing SNPs that were monomorphic, had too much missing data (>15% of population size), or the marker genotypes were not described in the JoinMap® v4.1 manual50, we retained ~7000 SNPs per population.

Indeed, there are so many known instances of personal revenge driving both sexes to strike, and so much missing data about the friendship and extended family circles of suicide attackers, that it is simply impossible to say one sex cares more about others.

SNPs were eliminated if both parents were homozygous, if one or both parents had no allele call at a given position, if there was too much missing data (>15% of the population size), if the segregation ratio was heavily skewed based on a χ2 test (p ≤ 0.0005), or if any parental genotype did not follow what was described as a CP population as outlined in the JoinMap® v4.1 manual50.

There is no "methodology appendix" attached to a keyword search in most commercial platforms that specifies precisely how much data was searched, whether and what kind of sampling was used or how much missing data there is in its index.

"You can't really walk away from this concluding that the standards do or do not lead to more effective teachers, because there's too much missing data," Walsh said.

Excusing the poor outcomes of her NCTQ ratings due to "too much missing data" does not bolster Walsh's argument for her passing judgment on teacher training programs regardless.

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Similar(27)

Actually, our data set had much less missing data than Galvagno et al.'s [ 2].

It is important to note that our regional alignments have much less missing data than our global data matrix because only the potentially informative loci are included in them.

The limitation with this approach would be that i) we do not know how much of the missing data in the population we do not predict since we do not know the population size, and ii) we cannot predict data for which there is no information to base a model on.

However, most of these have been designed for seed plants; as can be seen in Table 2, much of our missing data for matK is in the remaining land plants.

Predefined assumptions were used to impute much of the missing data.

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