Sentence examples for a regression framework where the from inspiring English sources

In the continuous case, inference can be done in a regression framework, where the expression of each target gene is explained by all its potential regulator genes.

The association between the disease outcome Y and the exposure X can be modelled in a regression framework where the conditional distribution function P [ Y = y| X = x] is studied for estimating a cut-off θ.

We used a generalized linear model (GLM) implemented in R (R Core Team 2013) and a use vs. availability resource selection approach to evaluate non-random nest site selection by comparing used (actual nest sites) to available (potential nest sites) in a logistic regression framework where nests were represented as a binary response (1 = actual nest site; 0 = potential nest site).

We compared used (bobcat locations) to available (random) locations in a logistic regression framework where used and random locations were represented as a binary response (1 = bobcat location; 0 = random location).

Data were analyzed using a logistic regression framework where nest fate (survived or failed) on each day was analyzed as a binary response variable (1 = survived; 0 = failed); modeling daily nest fate as a binary response was the basis for estimating the probability of daily nest survival (i.e., DSR of nests).

For analysis using SAS in our GWAS cohort, genotypic association analysis was performed under the linear regression framework, where genotype was treated as the independent variable and the study phenotype (such as BMI) as the dependent variable, and the phenotype was modeled as a linear function of alternative genotypes at a certain SNP.

Multi-task learning methods in the literature work in a supervised classification or regression framework where models for similar tasks are learned simultaneously.

So we adopted a regression framework that assumes the existence of an upper limit of total hip replacement incidence.

In a regression framework, a large dispersion of the explanatory variables is preferable.

for the formal expression of the DD strategy within a regression framework.

In our motivating example, we have used a multiple linear regression model to illustrate the simplicity and utility of a regression framework.