Sentence examples for binomial regression to calibrate from inspiring English sources

Using negative binomial regression to calibrate the bid function, this study demonstrates that metro malls provide most benefits for high-income users, females and special-purpose and passing-by shopping trips.

We used negative binomial regression to analyze survey data for 9974 middle-aged and older respondents to the Health and Retirement Study in the USA.

We conducted a negative binomial regression to determine any differences in the pre-post periods.In our multivariable analysis, there was a statistically significant decrease in hospital admissions.

Results do not change when we use a negative binomial regression to accommodate the highly skewed dependent variable.

After testing different models, we used negative binomial regression to adjust rural and urban cases.

We used binomial regression to calculate RRs adjusted for possible confounders.

We used logistic binomial regression to estimate relative risks (RR) and control potential confounders.

Logistic regression was used, instead of binomial regression, to avoid convergence issues when controlling for many confounding variables.

We used logistic regression and zero truncated negative binomial regression to model the zero and count processes, respectively.

We used log binomial regressions to control for any potential confounders.

We used Cox log-binomial regression to estimate predictors of the use of vascular endothelial growth factor (VEGF) antagonists within 1 year after diagnosis.