Sentence examples for binomial glm from inspiring English sources

Effects of study site, cohort, age and MHC diversity on nematode infection intensity (EPG of all nematode morphotypes pooled) were tested with a negative binomial GLM with log link (glm.nb function in the MASS package, [ 93]), because of its distribution.

Similarly, a negative binomial GLM better fit the hybrids adult returns data than did a Poisson GLM (LRT = 65.0, df = 2, P <  0.001).

The Poisson GLM exhibited overdispersion (P value for "z" = 0.0001), the negative binomial GLM demonstrating an expected decrease in BIC; other performance measures were comparable between these two models.

A negative binomial GLM better fit the adult returns data for pure families than a Poisson GLM (LRT = 115.5, df = 2, P <  0.001).

Statistical inference was conducted using the negative binomial GLM fitting and Wald significance tests.

Since the abundance data were not normally distributed and contained a large fraction of zero values, we employed a negative binomial GLM using DESeq, which was used as the main statistical test for comparison throughout this study.

The GLM likelihood ratio test is based on the idea of fitting negative binomial GLMs with Cox-Reid dispersion estimates.

Log binomial GLMs will be used to determine the best joint predictors of participation.

Next, both Poisson and negative binomial GLMs were fit to the data from each of these groups, including only an intercept in each case.

Considering changes in the frequencies of single taxa (vs. other taxa, binomial GLMs), the frequencies of D. galeata and D. longispina changed across time and space, whereas the frequencies of the F1 hybrids changed across time only, and there was a significant time × space interaction.

The results from the γ and negative binomial GLMs were expressed as antilogarithms of regression coefficients (eb) and their 95% CIs, which are to be interpreted as the proportional increase or decrease in mean motorised transport amount (min/day) or frequency (day/week) associated with a 1 unit increase in the predictor.