Sentence examples for sample using regression from inspiring English sources

In the combined sample, using regression model A, adjusting for age and sex, the GRS was associated with ischemic stroke (table 2).

We imputed missing values for the Health Utilities Index (about 1.4% of the sample) using regression imputation with variables whose spearman correlation coefficient with the Health Utilities Index was greater than 0.10.

Individual peaks were identified from retention time and concentrations were determined from the peak area for appropriate sample solutions using regression equation obtained from calibration plot.

In weighted PCA, the principal components responsible for over 80% variance in the training set were selected and linearly added to generate the sample score using regression coefficients of individual components as weight.

Comparisons between dependent samples were conducted using regression models in order to account for the covariance between the comparative groups.

The SNPs were analyzed for allele frequency differences between the cases and controls in each population sample using logistic regression.

The polygenic score was tested for ability to predict SA or TWOSI/TESI in the validation sample using logistic regression, with principal components as required, to calculate Nagelkerke's pseudo-R, a measure of the variance explained [Nagelkerke, 1991].

To remedy the relative risk overestimation for these condition categories, we scaled the rate ratios estimated from dNHI and Medicare 5% sample using the regression results from the MEPS analysis by applying a scalar (with the scalar calculated as the full model rate ratio divided by the naïve model rate ratio) (2).

Ideally, the study should be replicated with a larger sample using the regression approach that we adopted in Study 1, where depression and self-esteem were entered at step one of the regression analyses, or using a design in which high socially anxious individuals are compared with a depressed group and a low self-esteem group who do not have high levels of social anxiety.

The effective concentration at 50%EC5050) was obtained by graphical extrapolation after plotting the percentage of free radical scavenging activity (Y-axis) against the concentration of each sample (X-axis) and using regression analysis to plot the best fit line.

We will estimate HRs of the outcomes using the propensity score matched sample using Cox regressions using the same entry and exit information as the conventional Cox regression analysis described above.