Sentence examples for missing data implied from inspiring English sources

Any inconsistency, inaccuracy, or missing data implied returning the specific case report form to the coinvestigator for correction within the next week after the Data Coordinating Center review.

Adequate treatment of missing data implied that the absence/presence and proportion of missing data were reported, and if > 10% of subjects had missing data then imputation techniques that take account of the uncertainty of missing data values (for example, multiple imputation/maximum expectation) or sensitivity analysis were used [ 22].

As the analysis of missing data implied, participants with missing data predominantly showed an unfavorable profile in the critical variables: higher proportion of migrants, lower family education level, more absence of working mothers, children less often sportingly active and a higher proportion of mothers who smoked.

We investigated, in finite samples, sufficient conditions under which a chained equations algorithm with compatible conditional models imputes missing data from the predictive distribution of the missing data implied by the joint model and its accompanying prior.

We have defined a non-informative margins condition which, together with compatibility of the conditional models, we have proved is sufficient for a chained equations algorithm to impute missing data from the predictive distribution of the missing data implied by the joint model and its prior distribution.

If the chained equations algorithm imputes all variables from the predictive distribution of the missing data implied by a specific joint model, then order effects cannot occur [ 22].

No imputation was made for missing data, which implies that sample size slightly varies in different analyses.

This sampling and missing data bias implies that comparisons across income groups should be interpreted with caution.

However, if an objective is to minimise the amount of missing data, this implies retaining a tiny fraction of the genome (e.g., 14 genes from 10 complete eukaryotic genomes in the study of Philip et al. [ 5]), rejecting a large number of genes whose paralogy history may be inferred and/or does not disturb the inference of the species phylogeny.

Despite this good result, single missing data points may imply a loss of data.

As expected, the differences in accuracy between imputation algorithms increased with relaxed thresholds for missing genotype data (implying greater amounts of estimated missing data) (Fig.  3).