Sentence examples for multivariate analysis initially from inspiring English sources

Secondarily, we performed a multivariate analysis initially without taking into account the severity scores and then coupled to the severity score.

Following multivariate analysis initially including age, gender, cirrhosis, BMI category, alcohol consumption and smoking status, overweight/obesity (OR = 5.8, p = 0.047), presence of cirrhosis (OR = 17.2, p = 0.007), female gender (OR = 14.3, p = 0.019) and lower alcohol consumption (OR = 0.998, p = 0.029) remained independently associated with %CDT ≤ 1.7.

Bivariate analyses were conducted first, followed by a multivariate analysis that initially included all bivariate factors with p < 0.10, and then backwards elimination to obtain a final model with factors significant at the 0.05 level.

Our results from this study require further confirmation since the sample we studied, while balanced through multivariate analysis, was not initially selected to evaluate our hypothesis and therefore does not have a control group of MDD without any general medical conditions.

To control study-wise Type I error rate, comparisons of eating measures, personality, and food liking scores between groups were conducted initially using multivariate analysis of variance (MANOVA) and only followed up by univariate ANOVAs when the MANOVA was significant.

[ 10, 11] Charlson et al [ 10] initially used multivariate analysis to develop a weighted comorbidity index designed to predict one-year mortality.

To control study-wise Type I error rate, comparisons of eating measure subscales scores between study groups were initially conducted using multivariate analysis of variance (MANOVA) and were reported using Hotelling's trace statistic.

Only CD2, CD34, and CD56 expressions were initially considered for multivariate analysis (Table 3).

Principal component analysis (PCA) [ 32, 33] was initially used for unsupervised multivariate analysis.

Univariate logistic regression analysis was initially conducted, followed by multivariate analysis with 'forced entry' of all variables examined in the univariate analyses into the multivariate regression model.

Initially, we used a permutation multivariate analysis of variance (perMANOVA) to determine if there were treatment and year interactions for both small mammal community assemblages and vegetation variables.