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As a result, we analyzed the data of 2,217 students using both descriptive and logistic regression analyses, stratified by sex.
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Statistical Analysis: Both descriptive and multivariable logistic regression analyses.
Small conference size (<1000) was more likely to result in higher dissemination levels than large conference size (> 1000), and this result was confirmed in both the descriptive and logistic regression analysis.
We used both descriptive statistics and logistic regression analysis (SAS version 9.1, SAS Institute, Cary, North Carolina) to analyze conference data.
Descriptive and logistic regression analyses were performed considering the multistage and weighted sample design.
Descriptive and logistic regression analyses were conducted.
Data were analyzed using descriptive and logistic regression analyses.
Descriptive and logistic regression models were used for analysis.
SPSS software was used to perform descriptive and logistic regression analyses.
Descriptive and logistic regression analyses were conducted to identify covariates associated with the risk of either stunting or being underweight.
We surveyed 1,661 rural households in three provinces and analyzed the responses from 1,525 households that participated in NCMS, using descriptive and logistic regression analysis.
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