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Specifically tailored tools should take greater care in evaluating missing values that are frequent in metagenomic data sets.
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The Pan American Health Organization recently developed a practical guide for evaluating missed opportunities for vaccination among children aged <5 years.
Sensitivity analysis will evaluate missing at random assumptions for missing follow-up data.
Population completeness evaluates missing values with respect to a reference population.
Trial data quality reports will be generated routinely to evaluate missing data and inconsistencies.
These problems mainly arise from the difficulty to evaluate missing characters as reduced or never developed.
We will evaluate missing computerised HC data and compare missing data from computerised HCs with missing data from paper-based HCs.
9 Recent research has also provided statistical tests and software that evaluate missing data via patterns, equality of means, and homogeneity of variance, and allow for non-normal data.
We evaluated missing data by examining the proportion of residents with complete data on all assessment items, and also by the proportion of residents with complete data on a majority of items in the scale.
Greater sensitivity on the gene level indicates that the prediction method being evaluated misses fewer genes.
Møller et al. [ 2] found that the method used in this study performed fairly well in comparison with other methods currently in use for predicting cancer incidence, and that all the methods evaluated missed the observed number of cases by 10 15% on average for 10 year predictions.
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