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Binary logistic regression was applied [18].
Binary logistic regression was selected to model the hypotheses.
After that, the corresponding multilevel binary logistic regression was estimated.
Binary logistic regression was applied to calculate the odds.
In addition, binary logistic regression was used to adjust for potential confounding variables.
Two hypotheses were formulated and binary logistic regression was used to test the model.
Binary logistic regression was used to determine factors that influence households' participation in fodder production.
A binary logistic regression was also performed to adjust for the main confounders.
Ordinal and binary logistic regression was used to analyze the cross-sectional data.
A binary logistic regression was used.
As the outcomes are all binary logistic regression was used.
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