Sentence examples for binomial regression to assess from inspiring English sources

Therefore we performed negative binomial regression to assess the influence of colonization with MDRO and other factors on LOS.

We then used random effects negative binomial regression to assess the impact of the MTAT intervention on both monthly confirmed and total malaria case incidence at the health facility level using a difference-in-differences (DiD) approach, 40 with the primary effect estimate evaluated through a time (pre-post intervention period)—by a treatment group interaction term.

Relative risk ratios were estimated by log-binomial regression to assess the association between knowledge of the screening programme, knowledge of cervical cancer risk factors, and reasons for non-participation (dependent variables) and socio-demographic characteristics (independent variables) that include mother tongue/ethnicity, place of residence, age, and number of children.

We performed a binomial logistic regression to assess the effect on choice (for gamble or safe option) of the following factors: gamble value, safe value, accumulated daily reward, prior outcome (better or worse than predicted for the gamble and as predicted for the safe option), and position on the screen.

We utilized logistic regression analysis to compare the odds of initiating outpatient care among women and men and standard negative binomial regression analysis to assess the intensity of utilization.

To account for variations in the surveillance area, FoodNet uses a main-effects log-linear Poisson (negative binomial) regression model to assess changes in incidence rates (1 ).

We used negative binomial regression models to assess the association between air pollution exposure and autistic traits as a quantitative score.

As exacerbations are usually correlated within patients, we used negative binomial regression models to assess the association between the exercise tests and the number of exacerbations (incidence rate ratio).

We used negative binomial regression models to assess the association between six different measures of perceived condom use control and the number of unprotected sex acts in the past week.

Table  2 shows the results of the negative binomial regression modelling to assess the patterning of green space availability by neighbourhood socioeconomic circumstance, controlling for city and population density.

We used a negative binomial regression model to assess the effect of PsA-TT on the incidence of meningitis in the N'Djamena regions in 2012 and in the whole country in 2013; we used weekly data obtained during the epidemic period (weeks 1 26) during 2009 2013.