Sentence examples for a large percentage of missing data from inspiring English sources

Owing to a large percentage of missing data (91.5%) for Fukuiraptor, adding the taxon destroys nearly all resolution in the tree and collapses the sister taxon relationship of Coelurosauria and Allosauroidea.

We noticed that the coverage probabilities from GEE were larger than the nominal level when within-cluster MI is applied prior to the analysis for CRTs with a small design effect and a large percentage of missing data.

Additionally, the low quality of reporting of newly diagnosed HIV cases, especially the large percentage of missing data, may have compromised the trend analysis.

Another reason for not using the other categories of health workers is the large percentage of missing data, particularly for the EMR (68.2% missing data for Midwives; 63.6% for Community workers; 50% for Environmental and Public Health workers; 45.5% for Lab technicians, Health Management and support workers; and 40.9% for other categories of health workers) [ 1].

The covariate with the largest percentage of missing data was education (7% of the participants).

We note that WIC data regarding both education and trimester of pregnancy had a large percentage of missing values (28% and 24% respectively).

The percentage of missing loci was related to evolutionary divergence between the samples analyzed and the reference, with G. longicalyx, G. barbadense, and wild G. hirsutum line TX0231 exhibiting the largest percentages of missing data (in decreasing order).

When complete case analysis was used to handle missing data, standardized biases for RELR did not change substantially with increasing percentage of missing data for S-design with a large design effect (VIF>3) and L-design with a large ICC (ICC≥0.1); however, standardized biases changed largely with an increasing percentage of missing data for other scenarios.

Future studies should validate our findings in a larger multicenter cohort with a low percentage of missing data.

Our dataset had a high percentage of missing data for the components that made up our primary outcome.

There was a higher percentage of missing data for secondary outcomes, but no scale had more than 20% missing data.