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The data are used to estimate binomial logit regression models for one-way and round-trip carsharing.
Binomial logit regression reveals that the probability to be associated with at least one geotagged photograph is a function of system size, system type, and influent water quality.
Assumptions of generalized linear models were not shown to be violated for binomial logit regression models.
Given excellent follow-up for cancer registries, binomial logit regression was quite advantageous.
Binomial logit regression analyzed odds of death, taking into account age at diagnosis, tumor size, gender, race, marital status, radiotherapy, and extensive surgery.
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Negative binomial and logit regression models were used to investigate association between the availability of green space in relation to neighbourhood socioeconomic circumstances, adjusting for city and population density.
The relationships between clinical, seminal, bacteriological and serological parameters were studied using the Fisher exact test and a logistic regression model (binomial logit).
Statistical analysis was performed using the Fisher exact test and a logistic regression model (binomial logit) with the R software (http://www.R-project.org).org
Incidence rate ratios and correlation coefficient estimates are presented for negative binomial (NB) and logit regressions, respectively.
According to the dependent variable's characteristics, we used negative binomial regression, general linear regression (OLS), logistic regression, and ordinal logit regression models.
The first outcome was investigated with a random effects logit regression model; the second, by using a random effects negative binomial regression model.
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