Sentence examples for binomial regression to compare from inspiring English sources

We used negative binomial regression to compare relative risk estimates for each estimate using the annual and multi-year data cycles.

The authors of this trial used negative binomial regression to compare the risk of repeat episodes in the two groups.

We used log binomial regression to compare the risk of death for patients in the two treatment arms.

We combined ventilation categories (invasive and non-invasive), as the number of observations was small, and used log binomial regression to compare them.

We used negative binomial regression to compare the number of plantar warts at 12 weeks between the two treatment groups with adjustment for the number of plantar warts at baseline.

We also obtained deidentified registry-based data on total births and BDs (2000 2004 inclusive) from post codes corresponding to water sample collection sites and used binomial logistic regression to compare the frequency of BDs aggregately and separately for the TTHM exposure groups, adjusting for maternal age and socioeconomic status.

We applied adjusted negative binomial regression models to compare the sperm aneuploidy outcomes of exposed men to unexposed men.

We used count data models such as Poisson and negative binomial regression models to compare the LOS between the HI and the MA group.

We also used unadjusted and adjusted log binomial regression models to compare the prevalence of MDRSA among workers, household members, and community residents.

We used a negative binomial regression model to compare the monthly pneumonic lung condemnation rates from the 3 sentinel surveillance system selection approaches for each animal class to the full dataset.

We used negative binomial regression (to account for overdispersion) to calculate model-based 10-year incident rate ratios (IRRs) and 95% confidence intervals (CIs) to compare the incident rates of asphyxiation suicides between 2005 and 2014.