Sentence examples for using only a subsample from inspiring English sources

The increased variance is primarily attributed to the non-event NRI portion of the calculation in Equation 5 since this is calculated using only a subsample of the non-events in the full cohort (Additional file 1: Figure S4).

By subsampling, we used only a fraction, f, of the total amount of available data in a systematic manner [ 30].

b) Explain why you used only a single animal for the second two experiments and analyzed only a small subsample of the data.

All associations were first tested for the whole sample and in a second step using only the subsample of individuals of French ancestry (as described above).

Furthermore, we retested lowest MPF, song density, and CV of MPF using only the subsample of 12 subjects for which reactive singing was recorded on the same or the following day as spontaneous singing so that seasonal effects can be assumed to be negligible.

Our waist circumference analyses used only one subsample (phthalates) and are unaffected; however, HOMA analyses used both fasting and phthalate subsamples, which only overlap by 50%.

In this study, however, we use only the subsample of working Ukrainians, which includes information about 342 Ukrainians aged between 18 and 62 years.

48 Furthermore, there is evidence that children in this age group with lower levels of fitness are associated with higher teacher-rated scores for hyperactivity/inattention. 25 Our finding of increased sedentary activity in the pervasive hyperactivity and impairment subsample supports the findings using only the teacher-rated SDQ as a measure of hyperactivity/inattention problems.

Surveys could include some core items and other items that may be used only for subsamples addressing specific hypotheses.

This statistic was also compared with those values obtained when fitting the equations by the NLMIXED (minimum value of RMSE reached only using all trees as a calibration subsample) and ONLS (maximum value of RMSE using only fixed parameters) methods.

By mixing these novel survey data with our initial archival sample (n=3417) and performing repeated cross-validation with subsampling, we created a classification algorithm that performs with AUC=0.89±0.01 using only 15 questions.