Sentence examples for binomial models were computed from inspiring English sources

Logistic and negative binomial models were computed separately in each age class and the estimates were adjusted for centre and the potential confounders reported above.

Two different models were computed.

Negative binomial models were also evaluated.

County-level time-series data is used and fixed effect negative binomial models are estimated.

One-tailed binomial tests were computed using custom Python code.

Confidence intervals of binomial probability distributions were computed using the Clopper Pearson (exact) method.

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.

In the first, generalized linear models with log link functions and binomial error distributions (log-binomial models) were fit.

39 40 Quasi-binomial models were used to avoid overdispersion.

Log-binomial models were fitted to continuous risk factors.