Sentence examples for binomial model were used from inspiring English sources

MVPA data were highly over-dispersed with variance 5 to 6 times higher than the means within each period of the day, so negative binomial model were used to investigate which factors were related to the percentage of time spent in MVPA and the results were reported as rate ratios (RRs) [ 26].

A zero-inflated negative binomial model was used as the estimation method.

In particular, random parameter negative binomial model was used to investigate pedestrian crashes.

A negative binomial model was used to compute the measured trough concentrations.

A negative binomial model was used to compute the KDIGO class at day 90.

A Zero-Inflated Negative Binomial model is used to explore the factors affecting the initial adoption and the increase of organic food in PSFP at the regional level.

The binomial model was used to estimate the confidence interval (CI).

A binomial model was used with complementary log-log link and the interval length as offset variable [ 23].

Rate of exacerbation defined as number of exacerbations per person year was calculated by treatment group and negative binomial model was used to examine treatment group differences.

When a negative binomial model is used, the dispersion has to be estimated before a differentially expressed gene (DEG) analysis is carried out.

A negative binomial model was used because the outcome was count data and the majority of participants had no repeat visits.