Sentence examples for binomial regression showed that from inspiring English sources

Further, a multinomial logit and a zero truncated negative binomial regression showed that choice of type and number of treatments are both influenced by a multiplicity of factors including age, level of education, travel party size, spa experience, type of guest, length of stay and expected benefits.

The multivariable log-binomial regression showed that participants who were older (RR = 1.08; 95% CI: 1.03, 1.13; per 10-year increase in age), non-white (1.26; 95% CI: 1.08, 1.47), and having a highest education attainment of high school degree or less (RR = 1.25; 95% CI: 1.09, 1.43) were more likely to choose the paper SAQ over the ACASI version of the survey (Table 2).

Statistical findings from negative binomial regressions show that both technological capabilities of the lab and external embeddedness in the local scientific and engineering communities matter.

The negative binomial regression showed a good fit with p-value of likelihood ratio test = 0.687.

In males, RII by log-binomial regression showed a significant increasing tendency while RII by logistic regression was stable between years.

The regression shows that they are indeed related.

Adjusted results of negative binomial regression analyses showed that having CDI for pneumonia and UTI discharges was associated with approximately 200% increased LOS (Table  3).

A binomial regression model showed that height and LCORL/NCAPG were strongly correlated with RLN even after accounting for sex and gelding (Table  3).

Fitting negative binomial regression models showed that PA children had significantly more bruises and more sites affected than the PA-excluded group (p<0.001 for bruises and sites) (figure 2, table 2).

Negative binomial regression analyses showed that proactive aggression was predicted by self-centered and disagreeable tendencies, whereas reactive aggression was predicted by the misattribution of blame to others and the self-regulatory aspects of agreeableness and conscientiousness.

Multivariate negative binomial regression analysis showed that male sex, older age group, and African American and Hispanic race/ethnicities were significantly associated with an increased risk for initial hospitalization (p<0.0001 for all) (Table 4).