Sentence examples for binomial error were used from inspiring English sources

Further analyses revealed an increase in spring temperature (β = 0.183 ± 0.017, t = 11.09, P <  0.001; Fig. 2B) and a decrease in breeder density (β = −0.093 ± 0.014, z = 6.83, P <  0.001; Fig. 2C) over the same period (linear mixed model and generalized linear mixed model (logit link and binomial error) were used, respectively, with farm identity included as a random effect).

To examine if test compounds had a significant effect on midgut infection rates, generalised linear models with binomial errors were used on the proportion of flies infected, with the effects of replicates taken into account by entering replicate into the model first.

A log (rather than logit) link function and binomial errors were used to allow estimation of relative risks (rather than odds ratios).

Generalised linear models (GLMs) with binomial errors were used to identify whether species or treatment were significant predictors of survival (proportion alive) at each time point (1 h, 1, 2, 4, 8, 16).

Univariate general linear models with binomial errors were used to assess for differences in the prevalence of the 8 enteropathogen with pedigree status (DSH or pedigree) and age group (<6 months, 6 12 months and >12 months) and differences within factors were examined using standard post-hoc Tukey pairwise comparisons (phTpc), which adjusted for the multiple pairwise testing within a factor.

To investigate relationship between genetic, clinical and anthropological variables and probability of a good response to MTX treatment, a generalized linear model with binomial errors was used.

Binomial regression was used to estimate adjusted prevalence ratios, and robust standard errors were used to account for clustering of observations within facilities.Sixty-five.Sixty-fivepercentreported currently using a modern contraceptive method.

For analyses of intestinal worm burden and per capita fecundity as response variables, GLMs with a negative binomial error structure were used.

A logit link function and a binomial error structure were used.

Generalized linear models (GLM) with a binomial error distribution were used to analyze the variation in the amount of opportunistic pathogen and the food source on the plate and the mother.

Seed number is a count so Poisson error structure was defined and fruit set is a proportion so a binomial error structure was used.