Sentence examples for binomial and logit regression from inspiring English sources

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.

Incidence rate ratios and correlation coefficient estimates are presented for negative binomial (NB) and logit regressions, respectively.

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.

According to the dependent variable's characteristics, we used negative binomial regression, general linear regression (OLS), logistic regression, and ordinal logit regression models.

Alternative modelling strategies may include: beta regression, variable-dispersion beta regression, and fractional logit regression models.

The hypothesis that interventions improved care was tested using general (normal error distribution and identity link function) or generalized (binomial error and logit link) linear mixed regression models (19).

We pool our Russell 3000 firms and estimate a logit regression by using relevant firm characteristics.