Sentence examples for binomial regression and the from inspiring English sources

Exact(4)

The estimation procedures based on the direct binomial regression and the inverse probability weighting of complete cases are developed.

Standard Poisson log-normal regression is more robust than the negative binomial regression and the Chambers et al. (2014) estimates, but outperformed by the HQRPLN method.

The likelihood ratio test that compared the fit between the negative binomial regression and the Poisson regression (the null model) along with the estimated dispersion parameter and its associated 95% confidence interval using the negative binomial model was provided as evidence of model fit for the negative binomial model.

The weekly prevalence of psychotropic drug use was described using binomial regression and the method of generalised estimating equations for AChEI and memantine use separately 24 and shown as the slope of the fitted regression line for the year before and separately for the year after first use of AChEI and memantine, respectively.

Similar(56)

The results of the simple correlation matrix differ considerably from the results provided by the multiple negative binomial regressions and the subsequent identification of commensalism and amensalism.

To test the significance of differences in germ cell number amongst genotypes, we fit the data to a negative binomial regression and stratified the data by litter.

The Poisson regression model is simpler than negative binomial regression and is suitable when the variance in the outcome variable within each treatment group is approximately equal to the mean (Faraway, 2006).

The total OHIP score was the outcome for negative binomial regression and OHIP prevalence was the outcome for logistic regression at 5% level.

For hospitalization or death, we used negative binomial regression and censored patients at the time of death or withdrawal from the study.

Tumor multiplicity was compared using negative binomial regression and significance calculated using the Wilcoxon-Mann-Whitney test [ 44].

Negative binomial regression and multinomial logistic regression were employed to evaluate the students' weekday and weekend travel.

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