Sentence examples for sample regression analyses from inspiring English sources

Sample regression analyses are visualized for the features RBC (red blood cell count) and NEUT (neutrophil count) in Fig. S12 of Data S1 (Supporting information).

In order to avoid bias by selection procedures in the generation of the KiGGS sample, all regression analyses were performed with weighted estimates accounting for the two-staged sample design.

In order to delineate the influence of disease on functioning in the GRAS sample, multiple regression analyses have been employed.

Because there was a large variability in previous drug use among the study sample, additional regression analyses were run to test for relationships between drug use and between-condition differences in RSFC.

For the total study sample, multiple regression analyses showed significant associations between parental SWLS and the following factors: others with health problems in the family and the child's social and school functioning.

The procedures for complex samples logistic regression analyses on a binary dependent variable for subpopulations were drawn.We optionally requested the analyses to fit our model and control the display of statistics that measure the overall model performance and estimate confidence intervals.

It is also in keeping with the recommended benchmark sample size for regression analyses containing 13 terms in a model.

Because of small sample sizes, logistic regression analyses were repeated using only the trichotomized and continuous measures.

Since respondent age was missing for approximately 5% of the study sample, the logistic regression analyses were performed using a multiple imputation approach (10 imputed datasets constructed using Markov Chain Monte Carlo method) with parameter estimates adjusted using Rubin's rules [ 6].

All categorical variables were dichotomized, and all continuous variables were standardized to the sample before multivariate regression analyses, to make appropriate comparisons between the PWA and the remaining 18-year populations.

The data were analysed using chi-square tests, t tests for independent samples and logistic regression analyses.