Descriptive statistics, odds ratio, independent t-test, and hierarchical multiple regression analyses were utilized to analyze data.
Longitudinal relationships between psychopathology and insight were analyzed through multiple regression analyses.
The association between MetScore and various explanatory variables were analyzed using multiple regression analyses.
In order to optimize the lapping parameters with a success, firstly, multiple nonlinear regression analyzes of experimental data were performed in terms of process parameters.
We used multiple regression to analyze the data described above.
Azotemia (≥23 vs. <23 mg/dl), hypertriglyceridemia (≥200 vs. <150 mg/dl, 150--200 vs. <150 mg/dl) were the associated risk factors by multiple logistic regression analyzing the independent effect of each variable on hyperuricemia.
This study used a geographic information system (GIS), inequality measures, and multiple regressions to analyze statistics from the Public Libraries Survey PLSS) collected by the National Center for Education Statistics (NCES) and from census tract data.
This study used a multiple regression analysis to analyze the effects of some socio-economic determinants on the members' ability to repay group loans.
The experimental data was fitted to a second-order polynomial equation using multiple regression analysis and analyzed using analysis of variance (ANOVA).
