Sentence examples for data were over from inspiring English sources

The registry data were over 90% complete.

Data were over 98% complete for these four indicator variables.

However, the majority of the patients in the data were over 64 years of age with many visits to the HC during 2006.

For the extinction rate of the non-premixed flames, the absolute experimental data were over-predicted uniformly for the entire range of conditions examined, although the model correctly predicted the trends of increasing extinction stretch rates with the increasing fuel/(N2+agent) molar ratio.

Negative binomial regression was chosen for the multivariate analyses due to two important characteristics of the dependent variable: (a) data were actual counts of the number of IUU fishing vessel visits to the countries, and (b) data were over-dispersed.

Because the data were over-dispersed a dispersion parameter was estimated.

A dispersion parameter was estimated by the deviance method, because the data were over-dispersed; initial model fitting with a dispersion parameter of 1 (for binomial and poisson error structures) yielded residual deviance much larger than the residual degrees of freedom.

Given the data were over-dispersed; we chose a negative binomial distribution model rather than a Poisson model.

For the sex ratio and transmission analyses the data were over-dispersed and so were corrected for by estimating a dispersion parameter for each analysis.

Cases with incomplete mental health data were over-represented in terms of social and emotional wellbeing problems in the study child (17.1% vs. 12.7%), single-parents (29.6% vs. 2.4%) and blended families (7.2% vs. 3.3%), socio-economic disadvantage (40.4% vs. 19.6%) and younger first-time mothers (15.7% vs. 5.1%).

All sites used standardised spirometric equipment (Vitalograph Centralized Spirometry System (Biomedical Systems, Brussels, Belgium, and Maryland Heights, Missouri, USA)), and data were over-read by a trained over-reader (representative from Biomedical Systems) to ensure consistency and accuracy of collected data.