Sentence examples for modeling of counts from inspiring English sources

While finite mixture models enable flexible modeling of counts from heterogeneous populations, their parameters have latent class interpretations.

The three states and the thresholds we use are supported by the distribution of methylation values in our data, but including direct modeling of counts of methylated versus unmethylated instances of a CpG site (Ziller et al., 2013) into our approach is a promising future direction.

As a consequence, the simultaneous modeling of count and continuous data was necessary.

Nonetheless, our explicit modeling of count data remains advantageous for segmenting count data, which has the highest weighted average rank (Table 4), followed by bcp and HaarSeg.

Another approach to the modeling of count data involves use of a linear model (assuming that the observations are approximately Gaussian).

Results: We have updated maSigPro to support RNA-seq time series analysis by introducing generalized linear models in the algorithm to support the modeling of count data while maintaining the traditional functionalities of the package.

This atypical model combines several advanced features in pharmacometrics: K-PD modeling, joint modeling of count and continuous data, both driven by a common latent variable, and the discrete processes for CTCs, modeled by a cell lifespan model combined with random sampling statistics.

We used a full model of counts = sample+exon+(colony+strain)*exon+(colony:strain)*I(exon==exonID) and a reduced model of counts = sample+exon+(colony+strain)*exon.

The impact of including smoking estimates in negative binomial regression models of counts of premature coronary heart disease (CHD) deaths was assessed.

We used SaTScan version 9.0 (28 ) to conduct this cluster detection analysis with a Poisson model of counts of case-patients per municipality after adjusting for population size as described (28 ).

Poisson regression is used in the modelling of count data and contingency tables; however, the extension to modelling survival data via a piecewise exponential model [ 19] serves as an alternative approach to the widely used Cox model.