Sentence examples for large proportion of data from inspiring English sources

25, 26 A large proportion of data was missing for race (40%) and tumor stage (~70%) in the EMR records.

Dietary sodium intake was included in exploratory models (results were very similar), but not included in final models because a large proportion of data was missing.

Although such approximations worked well even with limited number of patients [ 11], it does not take into account BLD data and hence could underestimate the standard error when a large proportion of data are BLD.

As can be readily seen, even with large proportions of data missing, all three methods perform equally well with only marginal differences, a fact that was also observed for sNMF and ADMIXTURE in Frichot et al. (2014).

Other studies have reported seasonal patterns in PM2.5 and its associations with hospitalizations (Bell et al. 2008; Ito et al. 2011), but the limited time frame of our data set, and the larger proportion of data collected during the winter than in the summer, prohibited extensive analysis by season.

However, the exposure estimation accuracy may also decrease if the data uncertainty resulting from the large proportion of missing data or biased aggregated data is large, which is the case of ozone estimation at long time scales.

NLMEM provided precise and accurate estimates for both the fixed effects and the inter-individual variance parameters even with sparse data and large proportion of BLD data.

Here our goal was to evaluate the capacity of NLMEM to precisely estimate the parameters of viral kinetic models when there is a large proportion of BLD data and a limited number of data per patient.

Imputing missing data are a necessary step, particularly for the genotypic data sets with a large proportion of missing data per marker (up to 80% in our case).

For studies with a large proportion of missing data, excluding participants with missing data may also reduce the precision of the analysis substantially.

The goal of this study was to evaluate the capacity of NLMEM to provide precise and accurate estimates of viral kinetic parameters when only sparse data with a large proportion of BLD data are available.