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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.
Multivariable binary logistic regression was used to produce adjusted odds ratios (OR and bootstrapped 95% confidence intervals).
Multivariable binary logistic regression was used to assess if clinical and biochemical signs of organ failure were associated with compliance to a SSC-based resuscitation bundle.
Frequencies and binary logistic regression was used to analyze the impact of different factors, including participation in entrepreneurship education, for entrepreneurial intentions.
Ordinal and binary logistic regression was used to analyze the cross-sectional data.
A binary logistic regression was used to identify the influence of the following independent variables on copulation calling: female audience composition, male rank, and male audience number [57].
Binary logistic regression was used to compare Caucasian and Afrocaribbean groups to take account of BMI and parity which were significantly different between the groups.
A binary logistic regression was used.
As the outcomes are all binary logistic regression was used.
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