Sentence examples for modelled the count from inspiring English sources

Some researchers modelled the count data as binomial distribution bin(n,p), where n is the total counts on the same lane, which usually ranges from several millions to tens of millions [ 7].

In the regression model, we modelled the counts of deaths as a function of select individual-level characteristics –age, gender and period using the offset of person years.

These include a binary logit regression to identify zero outcomes associated with count data and NBR to model the count process.

The second part then uses a Poisson regression to model the count of years for individual belonging to the group that may have a positive outcome.

We also recognize the multivariate nature of the injury counts by injury severity level within each census tract (as opposed to independently modeling the count of pedestrian injuries by severity level).

The statistical analyses used distributed-lag Poisson Generalized Models [ 26] to model the count data.

We modeled the count data as both a negative binomial distribution and as a normal distribution.

The 'logistic-distance Poisson' spatial model is used to explicitly model the count of synapses, c, between two neurons.

Because it was not, we used a Poisson, rather than a negative binomial, distribution to model the count outcome variables.

Chikhi and Medvedev (2013) recently modeled the count distribution using a mixture of Gaussians for this purpose.

First, we analyzed the count data with the Bioconductor package edgeR[ 20], which uses the negative binomial distribution to model the count data.