Sentence examples for variable in subjects from inspiring English sources

Response to growth hormone (GH) therapy is variable in subjects who are GH-deficient (1).

The explanatory variable in subject is an aggregated mutation vector, telling how many mutations each patient has in terms of genes combined.

We evaluated associations between IRIS and baseline variables in subjects with follow-up on ART using Wilcoxon and Fisher's exact tests, logistic regression, and Cox models with time-varying covariates.

Further studies are warranted to evaluate the association of gender with these variables in subjects with T2D.

In addition, sensitivity analyses did not demonstrate any significant differences between baseline variables in subjects who did versus did not complete the study.

For ANCOVA, we confirmed the homogeneity of the slope between the covariates and the dependent variables in subjects with or without OSA.

The aim of this study is to analyze the reliability and validity of the parameterisation of FRT by using inertial sensors to record kinematic variables in subjects who have had a stroke.

To determine independent associations of age, BMI, gender, muscle strength and knee OA, we next used multiple logistic regression analysis with age, BMI, gender, quadriceps muscle strength and KL grade as explanatory variables in subjects overall, and with age, BMI, muscle strength and KL grade as explanatory variables in men and women (Table  3).

Thus, when separate regression analyses were made with diabetes as the dependent variable and sex, age and filaggrin mutation as the explanatory variables in subjects with BMI<25, BMI=25 30 and BMI>30 kg/m, the OR for filaggrin mutation was, respectively, 2.08 (95% CI 1.15 to 3.76), 1.51 (95% CI 0.91 to 2.48) and 1.11 (95% CI 0.66 to 1.88).

Studies on the effects of sociodemographic variables in subjects without brain injury show a strong educational effect on performance in the TT, but the effect of aging is controversial, depending on the version of the test employed, the scoring system used, and the age range studied, with decline being most evident beyond 65 years of age [ 21, 27– 30].

Baseline comparisons of continuous and categorical variables in subjects with and without obesity were done by unpaired Student t test and chi test when data were normally distributed, or Mann Whitney U test and Fisher's exact test for non-parametric, respectively.