We used Monte Carlo simulation to model the probability of introducing BTV into California, USA, and the US through importation of cattle.
This article addresses both of these issues using a Bayesian approach to model the probability of dose limiting toxicity (DLT) at the MTD.
Multivariate binomial regression was used to model the probability of adverse outcomes with respect to the absolute number of antenatal visits, after controlling for potentially confounding factors.
A logistic regression was used to model the probability of growth of L. monocytogenes as a function of concentrations of salt and phenol, and storage temperature.
A bivariate Weibull distribution is adopted to model the probability of breakdown as a function of the combination of mean speed and occupancy of the incoming traffic.
A logistic regression was used to model the probability of land abandonment, observed as the land cover change from agricultural land to arboreous shrubland or native forest between 1985 and 2007.
We used land use history variables (based on subsequent land cover maps from 1838, 1882 and 1956) and terrain variables (derived from a digital elevation model) in a logistic regression to model the probability of silver fir forest occurrence.
Repeated measures logistic regression and generalized estimating equations were used to model the probability of hospitalization.
The other two are large impact of the event and not being able to model the probability of the event.
A generalised additive model with a bivariate spline for continuous maternal age and prepregnancy BMI was used to model the probability of gastroschisis.
The second stage is to build different ST-GAM to model the probability of criminal incidents for each region.
