Sentence examples for data proportion from inspiring English sources

Hence, we recommend using MMI instead of SMI if the missing data proportion is substantial and if researchers are interested not only in unbiased estimates (e.g., for purely descriptive purposes) but also in unbiased standard errors of these estimates (e.g., for significance testing).

Additionally, SNPs with a MAF <0.05 were excluded if the study-wise missing data proportion exceeded 0.01.

Additionally, the HC-AD, HC-MCI, and MCI-AD datasets yielded 655, 652, and 799 features, respectively, after excluding those with a high missing data proportion.

Briefly, SNPs were excluded based on deviation from Hardy Weinberg equilibrium (p < 5.7 × 10−7) or if the study-wise missing data proportion was >0.05.

The following assumptions were made: since no previous data, proportion was taken as 50% (p = 0.5), 95% confidence interval, margin of error 5% (d = 0.05).

Demographic data, proportion of hypertension and diabetes mellitus in our BRVO patients were consistent with previous reports in the literature [ 28– 30].

We used Pearson's Chi-squared analysis to compare categorical data (proportions) and Cox proportional hazard models to assess survival differences.

For descriptive data, proportions, means and SDs or 95% confidence intervals (CI) are given.

For descriptive data, proportions, means and confidence intervals (CI) are given.

Though it is by far the most commonly used likelihood for composition data (proportions at length or age) in fisheries stock assessment models, the multinomial is poorly suited for this task.

Because of non-normality of the data, proportions of winged morphs were square root transformed and analysed by an ANCOVA, using the total number of offspring as a covariate.