Search alternatives:
significant variable » significant variables (Expand Search), significant variants (Expand Search), significant variation (Expand Search)
variable regression » multivariable regression (Expand Search), variable region (Expand Search), univariate regression (Expand Search)
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
significant variable » significant variables (Expand Search), significant variants (Expand Search), significant variation (Expand Search)
variable regression » multivariable regression (Expand Search), variable region (Expand Search), univariate regression (Expand Search)
mean decrease » a decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), gy decreased (Expand Search)
-
121
-
122
Statistically significant associations between infant microbiota composition and maternal variables by Spearman’s correlations for continuous variables (left) and multiple regression analyses (right).
Published 2019“…<p>Statistically significant associations between infant microbiota composition and maternal variables by Spearman’s correlations for continuous variables (left) and multiple regression analyses (right).…”
-
123
-
124
-
125
-
126
-
127
-
128
-
129
-
130
-
131
-
132
-
133
-
134
-
135
-
136
-
137
The significant correlation coefficient (r) and regression coefficient determination for the variables related to the bed utilization rate, efficiency, and effectiveness.
Published 2025“…<p>The significant correlation coefficient (r) and regression coefficient determination for the variables related to the bed utilization rate, efficiency, and effectiveness.…”
-
138
Significance of multiple variables by using ANOVA in regression for liver function tests of obesity-induced metabolic disorders groups.
Published 2024“…<p>Significance of multiple variables by using ANOVA in regression for liver function tests of obesity-induced metabolic disorders groups.…”
-
139
Potential risk variables significantly associated with incidence of crude morbidity based on multivariable analysis using Cox regression.
Published 2021“…<p>Potential risk variables significantly associated with incidence of crude morbidity based on multivariable analysis using Cox regression.…”
-
140
Logistic regression analysis of the most significant aspects and variables, adjusted for potential confounding factors according to age groups.
Published 2025“…<p>Logistic regression analysis of the most significant aspects and variables, adjusted for potential confounding factors according to age groups.…”