Sentence examples for missing data corresponding from inspiring English sources

After the reamplification of failed PCRs, the dataset had 0.45% missing data, corresponding to 0.17 0.86% missing per locus.

The data set presented 4.2% of missing data, corresponding to 55 individuals lacking information at one locus at most.

The two datasets contained 32,648 unambiguously aligned amino acids with about 23% of missing data (corresponding to OTUs that lack sequence for some genes, this lacks being similar in the two datasets).

Each answer to the 20 items of the questionnaire scored 1 to 4. A global score ranging from 20 (the lowest level of anxiety) to 80 (the highest level of anxiety) was calculated if there were less than 20% missing data, corresponding to at least 17 items completed.

Although a bias in estimated group mean differences is unlikely, if the imputation model adequately captures the mechanism behind the missing data, the corresponding standard errors of the mean estimates may be underestimated (White et al. [2010]), in particular if the rates of missing data in background variables are high.

Follow-up was terminated if patients had at least two/three or more consecutive missing data points (corresponding to an absence of at least one month) and if antimalarial self-medication was detected by interview or metabolite assay.

In case of missing data, the corresponding author of the paper was contacted.

More precisely, we consider effects of the form β [Hijp], p = m, f, where the index p, or phase, is treated as missing data in the corresponding Bayesian model, assigning the prior probability of 0.5 to both m and f.

The most conservative approach for attrition will be adopted by considering dropouts as a treatment failure (i.e., a major depressive episode was triggered) and by replacing missing data with the corresponding baseline scores.

For the detailed analysis of matched isolates (isolates within a pair), we manually curated the intra-pair SNPs; that is, we excluded from both isolates SNPs that we were not able to correctly determine in one of the two strains due to missing data at the corresponding genomic position.

Predicted probabilities of a small (pp s), medium (pp m) and large (pp l) between-farm association frequency were obtained for each farm (denoted as i) recorded in the GBPR that had no missing data for the corresponding predictor variables (n = 3009).