Sentence examples for binomial regression to determine from inspiring English sources

Next, we will use Poisson or negative binomial regression to determine whether changes in literacy, stigma and attitudes associated with intervention (as well as overall levels of each) predict counts on the desirable behavior checklist.

Multivariable-adjusted prevalence ratios (mPR) and 95% CIs were estimated with log-binomial regression to determine factors associated with cervical lesion outcomes.

All five hypotheses presented in this research were tested by using a negative binomial regression analysis to determine what variables influenced the number of visits a country received by IUU fishing vessels.

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

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

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 log binomial regressions to control for any potential confounders.

Standard descriptive methods, multivariable linear regression, and log binomial regression were used to determine whether there is an association between childhood B-Pbs and school performance.

Second, the sample was then divided based on population (stroke, control), and two separate multiple negative binomial regressions were performed to determine the predictors of falls for each cohort.

Log-binomial regression was used to determine the relative risk of various factors, including prescription size, on adherence.