Sentence examples for binary environmental from inspiring English sources

This scenario (Table 3) invokes a binary environmental exposure with a prevalence of 0.2 (20%).

However, in the estimation of multiplicative gene-environment interaction effect, Garcia-Closas et al.[ 57] showed that under a set of conditions typically satisfied in studies of gene-environment interactions, both differential and non-differential misclassification of a binary environmental factor biases a multiplicative interaction effect toward the null value.

The original version of ESPRESS0 (Burton et al., 2009) consisted of a single R script which allowed for the fitting of a model with a binary outcome and two covariates (one single nucleotide polymorphism (SNP) and one binary environmental exposure) by calling a text file that held the input parameters for the calculations.

He uses passing of the ISO 14000 as a binary measurement for environmental performance and Tobin's Q for financial performance.

During the environmental selection, the binary search (BS) is used to adaptively adjust the ϵ value in the ϵ-dominance relationship and assist in detecting the well-distributed neighbors for the elite solutions.

Examples of configuration parameters include location of binary or configuration files, and environmental execution parameters (e.g. number of CPU cores, size of memory).

As a consequence, we often code genetic and environmental factors as binary variables for calculation of relative risks and odds ratios even if the genetic and environmental factors take multiple values or even continuous values.

To investigate further the relative advantages of these methods, we carried out a small simulation study corresponding to a case-control set-up with ten binary covariates representing, for example, environmental factors.

For example, when the environmental condition is binary, A g is the genetic relationship matrix (GRM) estimated from all SNPs and elements in A ge  =  A g for all pairs of individuals sharing the same environment and elements in A ge  = 0 for the pairs of individuals in different environments.

The MDR method is a computationally efficient method for detecting higher-order interactions between genes (and/or gene-environmental factors) and a binary phenotype.

The environmental determinants were modelled as binary, and the measurement error was introduced by assuming an underlying latent variable with a reliability of 0.7.