Sentence examples for binomial models were examined from inspiring English sources

Unadjusted and adjusted odds ratios and p-values using logistic and risk ratios using negative binomial models were examined.

Additive, dominant, and recessive models were examined.

Thereafter, Bayesian negative binomial models were fitted in WinBUGS [ 48] to examine the association between non-alcoholic liver disease deaths and bloom coverage using a conditional autoregressive (CAR) process.

Mixed effects models and log binomial models were used to assess the association of maternal PHIV status with infant outcomes.

Negative binomial models were also evaluated.

What distinguishes binomial models is that they use algebra.

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

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.

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.