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Specifically, a binary logistic function was used to analyze the utilitarian responses as dependent variables.

Second, the logistic function is the canonical link function for a binary outcome, so logistic regression enjoys certain favorable properties.

As described in Section 2, instantaneous BLER for MCS i over AWGN channels can be modeled by means of binary logistic functions.

In particular, we present a model of the instantaneous BLER and the averaged BLER by means of binary logistic functions and modified binary logistic functions, respectively.

Because clinical scores for respiratory distress and diarrhea were binary in nature (only scores 1 and 2 were given) the binary distribution function was used in the abovementioned procedure; this analysis approach is commonly referred to as logistic regression.

Binary logistic regression was also used to examine the risk of speeding as a function of covariates and interaction terms.

Binary logistic regression was applied [18].

After that, the corresponding multilevel binary logistic regression was estimated.

Binary logistic regression was selected to model the hypotheses.

Binary logistic regression was applied to calculate the odds.

A regression binary logistic analysis was performed.