Sentence examples for multiple regression analysis regarding from inspiring English sources

As all the multiparous patients delivered vaginally, the statistical analysis of vaginal birth prediction was not carried out.> Multiple regression analysis regarding age, parity, BMI, neonatal birth weight, Bishop score, phIGFBP-1 presence and cervical length was performed.

Subsequently we performed multiple regression analysis regarding mean argatroban dose, showing that among all analyzed variables (APACHE II, serum creatinine, presence of hepatic insufficiency, presence of renal insufficiency), only the presence of hepatic insufficiency was independently associated with the mean argatroban dose (r = 0.676; P = 0.016).

To assess the risk factors where dermatologists recommended further management even though the clinical diagnosis was benign, we created a multiple regression model.> -wrap-foot>> -wrap-foot> Multiple logistic regression analysis regarding influential factors concerning clinical malignancy.

Population size and other variables in which the ratio to population or to area showed stronger correlations with the number of physicians in the multiple regression analysis were regarded as possible parameters of community attractiveness, and the equity of physician distribution against each of the parameters was evaluated by the Lorenz curve and Gini index.

Factors significantly correlated to the mean argatroban dose were included in a multiple regression analysis (backward selection) regarding the individual mean argatroban dose in a second step.

The adjustment analysis by multiple regression analysis did not change the interpretation of our results regarding the intermediate variables.

Regarding basic cognition/fine motor function, multiple regression analysis revealed a significant model accounting for 32.4% of variance in the total sample.

Table 5 shows the results of a multiple regression analysis conducted to investigate the relationships between NOS and conceptual change regarding evolutionary theory.

Multiple regression analysis also confirmed these results.

A hierarchical multiple regression analysis was used to predict quality of life.

Multiple regression analysis (MRA) for circadian and sleep predictors over behavioral measures.