Sentence examples for larger proportion of data from inspiring English sources

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.

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.

Somewhat paradoxically, p-values were consistently smaller when 50% of the data had been imputed, compared to when a larger proportion of the data (80%) had been imputed.

We used an exclusion zone of 10%, which is smaller than recently suggested [ 19], in order to use a larger proportion of the data.

Providing this information helps the reader to assess the validity of the results since a larger proportion of missing data may introduce a greater bias in the analysis.

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).

There is an appreciably larger proportion of missing outcome data in the control group.

Although vector and scalar data are used at all latitudes for satellite data scalar data constitute a larger proportion of the total after Ørsted vector data becomes unavailable (see Fig. 1).

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.